Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Friday, 8 February 2019

4 Ways Artificial Intelligence Will Drive Digital Transformation In Agriculture

The United Nations reports that about 1/3 of the food produced globally each year is lost or wasted, and I’d reckon that number is not too surprising. Those of us in the United States see evidence of waste each time we go out to eat or do a weekly purge of jam-packed refrigerators. Outside the waste, however, there’s a greater problem many of us don’t realize. Just as the amount of food wasted globally is skyrocketing, the global demand for food is, ironically, set to rise.
With exploding populations, global warming, and less land available for cultivation, we’re actually facing a global food shortage of epidemic proportions. How will we manage to feed and sustain 9 billion humans estimated to populate planet earth by 2050? And how will we support the 59-98 percent increase in food consumption that population is likely to need? Like many issues humans are facing in the world today, we are seeing the digital transformation in agriculture, most specifically in the form of artificial intelligence (AI).

Sensors and Data

By far, the greatest development in agricultural technology (AgTech) comes in the form of connected sensors and the IoT. As you’d expect, successful agricultural production in digital transformation is becoming a numbers game. With the help of AgTech, connected farmers are beginning to share data, and make improvements in input, efficiencies, and operations processes, largely due to AI-driven sensors. These sensors can be ground, aerial, or machine-based, and all hold huge potential for agricultural production.
On the ground, for instance, sensors can monitor the quality of plants, soil, animal health, and weather. They can determine the best place to plant for the highest yield, and how much to plant to prevent waste. In the air, drones and satellites can monitor crop health and pest disease, preventing the surprise of a lost crop at harvest time. Farm equipment can also capture data on anticipated crop production. For instance, high-speed planting equipment can provide “as planted” estimates on crop yield and harvest output, allowing farmers to plan for sales forecasting, overflow and shortage. That’s not all. Robotic harvesting equipment can even use AI to pick ripe fruit and vegetables at just the right time, saving time, manpower, and waste. Talk about digital transformation in agriculture!

Read Original Article on https://www.forbes.com/sites/danielnewman/2019/02/07/4-ways-artificial-intelligence-will-drive-digital-transformation-in-agriculture/#240c88601273

Thursday, 7 February 2019

AI and ML trend to watch in 2019

In 2019, companies will want to use data more efficiently, maintaining the 2018 trend. Optimising and managing multicloud environments was a priority for many companies last year, and so was the need to integrate security at a basic level. None of these trends will disappear in 2019, and we will see an interesting mix between “evolution” – expanding and developing already-existing trends – and “revolution” – demands that are always changing and forcing companies to adopt digitalization and new technologies more quickly, according to a report released on Thursday by Cisco.

AI-ML will become routine

AI (Artificial Intelligence) and ML (Machine Learning) have progressed quickly over the past few years. AI-ML innovation has solved old problems, leading to a conviction that these technologies can be a solution for many challenges. Consumer apps with high visibility such as driverless cars or digital robots that “look like humans” have caught the public’s attention, but this enthusiasm is only partly justified as companies are still learning what needs to be done to adopt AI-ML.
Cisco uses AI and ML to solve real problems with a pragmatic approach. For example, they analyse huge volumes of data in the network, identify and block security threats or ensure continuous workflows. Cisco DNA Analytics can extract anonymous data from client networks, identify patterns and develop statistics. This leads to cost savings in network operation and security is improved. Encrypted Traffic Analytics from Cisco uses ML to find malware programs in encrypted traffic without a need to decrypt it, a first in the industry. We will see fast and interesting development in AI-ML in 2019.

Read Original Article on http://business-review.eu/tech/six-technology-trends-to-watch-in-2019-196139


Take a look about Aloha Technology Which helps companies to top in AI and ML

Monday, 28 January 2019

AI innovation key to UAE’s digital transformation’: VMware

On a trip to the UAE this month, VMware’s Jean-Pierre Brulard, senior vice president and general manager EMEA, talked about how 2019 will be the year for the UAE to adopt Artificial Intelligence (AI) innovation in order to fuel nationwide digital transformation.
“Artificial Intelligence and machine learning will see major breakthroughs in 2019, and the UAE’s government and industry verticals are ideally-positioned to encourage and adopt these to drive digital transformation,” said Brulard.
Brulard predicts that, in 2019, businesses in the region – especially across education, energy, financial services, and governmental – will leverage the power of AI to confront security challenges.
“From Expo 2020 Dubai to Dubai’s Smart City initiatives, AI is becoming the foundation for organizations to react to peoples’ needs in real-time, predict how government services will transform citizen experiences, and ensure that costs, security and innovation are optimized,” said Brulard. “The UAE’s leadership is one of the most visionary in the world, encouraging connectivity and recognizing the potential for technology to serve as a force for economic growth and societal good.”
Brulard believes the UAE has a tradition of leading digital innovation for the region – especially the UAE’s Strategy for Artificial Intelligence, and the potential of this to drive digital transformation and drive the future economy.
Regarding technology infrastructure, he predicts that 2019 will be the era of the ‘self-driving data center’ – in which AI and machine learning will be deeply infused into private and public clouds, reducing complexity and driving the next generation of digital infrastructure. All achievable by laying a strong digital foundation.


Related News about Digital transformation

Wednesday, 23 January 2019

Artificial Intelligence is Transforming the Workplace in 2019

Artificial intelligence ( AI ) is an advantage to modern workforces.
AI can deal with ordinary and repeated tasks across the organization, freeing up people in HR, IT, marketing, and more to exercise ingenuity, resolve complicated issues, and elsewhere focus on obtaining impactful work performed. Aloha Technology is helping organization to enhance there work productivity by utilizing Artificial Intelligence
Put simply, AI allows contemporary knowledge workers to give attention to the most engaging parts of their jobs while making their companies more effective.
At the Gartner Application Technologies and Solutions Summit held in November 2018, John Kostoulas, senior director analyst, proven that different t groups and group leaders that directly boost an absolute heritage would surpass their targeted goals. Referring to a Leadership Validation Survey CEB-Gartner conducted in 2016, Kostoulas revealed that higher gender diversity teams paired with effective addition practices enhance teams’ performance.
Take a look at these types of AI-powered software tools to find out more about just how AI is transforming the workplace for the better.



How AI is transforming the hiring process




Filling open positions is usually time-consuming, costly, and annoying.
It’s among the areas where AI is already getting a substantial impact. HR departments, recruiters, and hiring managers are utilizing various sorts of AI-powered tools to develop the hiring process for everyone involved :



Textio makes use of AI to assist employers and hiring managers to write much more powerful job descriptions. It utilizes data it’s gathered from the company’s past job postings—as well as identical postings from other companies—to recommend changes to word, formatting, and content which will produce much more applications and interest from job-seekers.



How AI is removing repetitive admin tasks




You can get lots of tasks that experience workers spend some time on that offer little—if any—value.For example, say you have to schedule an appointment to obtain consensus on an option before moving forward, however you need 5 people to join the meeting. It’s simple to invest a lot of time sending message back-and-forth or perhaps finding an open port on everyone’s calendar.



That’s not the most rewarding use of your time for you or your company.
Recording, transcribing, and publishing conference notes are yet another inglorious—yet often helpful—use of time.



How AI is transforming internal communications and support




AI would not need to describe us or exchange us; we have now the possibility to explain AI in the context of corporate communications, which include both external and internal communications.
Personnel on the people that offer employee support possess their hands full along with other responsibilities, too. HR teams focus on creating the type of company people really like working for. IT retains the company’s network and keeps data secure. Office managers often work big events like holiday parties.



AI is furthermore transforming workplace communications by enabling employees who speak various languages to quickly understand one another in near-real-time conversations. Skype Translator’s AI instantly converts for both parties in a conference call :



How AI is transforming marketing, sales, and customer service




AI-powered chatbots assist with exterior support as well. Identical to with internal support tools like Spoke, these types of chatbots learn from real internet marketers, salespeople, and customer service repitions and ultimately capable of answer questions as precisely as a knowledgeable person.



Related Links:
https://www.reuters.com/brandfeatures/venture-capital/article?id=56598












Wednesday, 16 January 2019

Artificial Intelligence in 2019



We know the one thing which is quite sure about artificial intelligence is that AI has broadly spread in the year 2018. Every day we have seen many blogs on this topic and even included this as agenda for many content writers throughout the year.

I will tell you one secret about it: AI will rule the world in 2019

Major Industries & Beyond

In most of the leading industry professionals has been coming up with attention with the buzzword artificial intelligence. Most of the Professionals from all sectors forecasts with regards to this Artificial Intelligence.
As an example, healthcare professionals forecast that AI technology will break all records and this will be rising from $2.1 billion dollars to 35 billion before 2025.
Among healthcare, other components of our daily lifestyles are set to grow
Tools like fitness apps and wearables are already relatively up to speed with technology. They are able to read and calculate personal data, in order to provide complete reports for customers when it comes to staying in shape. In 2019, experts predict these capabilities will only advance.
Google and Fitbit are actually in the lead when focusing on making AI experiments far more personable. AI can help drive these customized experiences by providing users with joined efforts from both medical records and fitness data.
This carries the power to completely transform how customers communicate with the healthcare industry.

Retail Industry, You Are Not Exempt!

While considering the healthcare scale, AI is desired to develop the retail experience by utilizing one word that lots of customers really enjoy while shopping.
Yes, you heard it here first. Shopping is all about to become more helpful and technology-driven, improving tools like recommendations and preferences, that helps retailers have an inside look into their customers
We have previously observed personalization ascend in the retail industry, with online sources like Amazon making use of shopper’s data to affect product ADs and recommended brand names. With the future of AI stronger than ever, experts are predicting that the shopping experience will simply advance in the brick and mortar world.
Mixing technology with brick and mortar is the goal for retailers. The ability to obtain a level of personalization that e-commerce receives makes brand names well rounded and simply reachable. AI could make this feasible with tools like facial recognition.
Overall, Artificial Intelligence manages to stand as big as one of the most popular digital transformation buzzwords.
So, what’s next?
Reference from https://digital-diary.blog/2019/01/15/is-2019-the-year-of-artifical-intelligence/

Monday, 31 December 2018

Reimagining e-commerce with Artificial Intelligence



There was a time when buying, selling, marketing, advertising and conducting other commercial transactions used to be physical practices. In the digital era of today, human involvement in either of these activities has been reduced to next to nil. All kinds of products and services are very easily sold and marketed online. Right from perishable goods to elaborate services, everything can be ordered, delivered, searched and tested remotely. This phenomenon was bound to shake things up in the market and pioneers like Amazon was successful in disrupting that particular market. However, many enterprises survived the onset of e-commerce and were, in fact, able to adapt very well to the changing demands of the customers. If this wasn’t a technological wonder, enter artificial intelligence, which further revolutionized e-commerce.

What initially felt like a miraculous feat, turned out to be a rather inevitable innovation in the field of automation. Artificial intelligence was very quickly incorporated into all of the systems whose functions that it could simplify. An idea, that a computer could make certain suggestions or decisions on the basis of evaluating scores and scores of data has a far-reaching impact on many processes, particularly in the business world. Practices and procedures across industries have been simplified, enhanced and made ‘smarter’ by introducing artificial intelligence in their functioning. In terms of e-commerce as well, artificial intelligence has led to many innovations that have benefitted the platforms greatly. IT support provided by Aloha Technology has made many companies equipped with the most advanced technological tools.

Chatbot Support

One of the most popular advantages of artificial intelligence has reflected in companies installing chatbots to communicate directly with their consumers. This has given companies the opportunity to connect with customers round-the-clock and give instantaneous responses. Chatbots have also made it possible to increase the rate of communication with each customer. While chatbots may yet not be successful in completely replacing a human representative, it has been equipped to deal with a number of issues that involve one or two-step procedures for resolution. This has increased interaction and improved customer relations to a massive extent.

Data-Driven Marketing

A significant wing of e-commerce websites is marketing and AI has propelled the rate at which the website can evaluate the preferences of a user. Applications have made it possible for consumers to have a purely customized experience. Moreover, artificially intelligent systems have the capability to make appropriate suggestions on the basis of the user’s previous activity online- something that it grasps from deep-learning models. AI in e-commerce has solved the issue of bringing the right product and the right person together. Digital advertising has had a massive impact on the reach, appeal and recall-value of brands. Since artificial intelligence makes insight-driven suggestions, the consumer experience of shopping online has completely transformed.

A Complete Website

Artificial intelligence is rooted in machine-learning. The system crawls through vast amounts of data in a very short time and brings relevant insights to the forefront. This helps business-leaders know their users and their audience in a much intimate way. A strong website is a key to embarking upon new relationships, be it with partners of customers. And this is especially true for e-commerce websites. By building a strong and more importantly a complete website, an e-commerce company will definitely achieve better results, more traffic and eventually more popularity. In order to enable this, it is important to leverage artificial intelligence in establishing a well-functioning website and Aloha Technology will help you to do this.

Special Assistance

A unique advantage of introducing artificial intelligence in e-commerce is providing the consumers with quality assistance. It helps consumers feel valued. They are more likely to trust a website that is especially attentive tot heir needs. In an extremely competitive market for e-commerce, it is very easy to lose out your customers on the countless sites. In this way, artificial intelligence has reimagined business to consumer interaction for e-commerce websites.

Friday, 21 December 2018

Whats your enterprise approach to AI ?

This new year 2019 is adopting technology advancement in each and every enterprise so it becomes crucial steps required for enterprises to take action for production and adapting the growth of the enterprise. Artificial Intelligence is the main thing because of which your enterprise needs to approach it. Of course, implementing AI will take multiple challenges of its own but obstacle gets addressed and find the way through which you can get the success. According to experts, these main obstacles are perception and data. Addressing these obstacles may get you lead to finding a more pragmatic approach to AI.

What are the key obstacles to making AI work for the global enterprise?

There are mainly two obstacles: perception and data. There’s a perception that if an enterprise is going to implement AI it’s going to be a tremendous undertaking that has to be applied in a really big way. There’s also a sense that you have to do a lot of preliminary things in order to prepare to implement AI.

However, a lot of the time, we’re seeing really effective implementations of AI that actually include filling in the gaps that enterprises need to be fully optimized for AI. Let us take an example When we work with the retailer to create personalized shopping advisor – a virtual agent that actually incorporated customer DNA and made personalized recommendations.

One important thing it was clear that the period of that execution was that they didn’t have actually all of the important metadata about their products to make suggestions. Therefore, we carried out visual identification to the images of their things to assist create and develop the metadata they required to get the bigger term initiative work. There’s a chance to utilize AI to a number of the small issues to assist understand the larger transformation.

The additional crucial difficulty is understanding where your data is, therefore, you need to be capable of establishing ground truth. You can’t include multiple variations of the truth. You should know exactly where your data is stored and what it signifies basically.

A Pragmatic AI Strategy

Rather than evading enterprise AI completely, keep your roadmap grounded. Be realistic about your enterprise’s functionality, however, don’t overthink it. Quite often, deficiencies could be sorted out during the adoption process. To make efforts to improve your data environment. Even Forrester predicts that good quality traditional information architecture may see continued investments in 2019 in an effort to build AI-worthy data environments.

Finding a pragmatic strategy to AI implementation might be the technique you need for successful AI adoption in 2019. To implement AI for your enterprise check out Aloha Technology who can help you to adapt AI successfully.

Thursday, 20 December 2018

Do the benefits of artificial intelligence outweigh the risks?


The discussion around Artificial Intelligence (AI) can sound a lot like Brexit. It’s coming but we don’t know when. It could destroy jobs but it could create more. There are even questions about sovereignty, democracy and taking back control.



Yet even the prospect of a post-Brexit Britain led by Boris “fuck business” Johnson doesn’t conjure the same level of collective anxiety as humanity’s precarious future in the face of super-intelligent AI. Opinions are divided as to whether this technological revolution will lead us on a new path to prosperity or a dark road to human obsolescence. One thing is clear, we are about to embark on a new age of rapid change the like of which has never been experienced before in human history.



From cancer to climate change the promise of AI is to uncover solutions to our overwhelmingly complex problems. In healthcare, its use is already speeding up disease diagnoses, improving accuracy, reducing costs and freeing up the valuable time of doctors.



In mobility, the age of autonomous vehicles is upon us. Despite two high-profile incidents from Uber and Tesla causing death to pedestrians in 2017, companies and investors are confident that self-driving cars will replace human-operated vehicles as early as 2020. By removing human error from the road AI evangelists claim the world’s one million annual road deaths will be dramatically reduced while simultaneously eliminating city scourges like congestion and air pollution.
AI is also transforming energy. Google’s DeepMind is in talks with the U.K. National Grid to cut the country’s energy bill by 10% using predictive machine learning to analyze demand patterns and maximize the use of renewables in the system.
In the coming decades autonomous Ubers, AI doctors and smart energy systems could radically improve our quality of life, free us from monotonous tasks and speed up our access to vital services.
But haven’t we heard this story of technological liberation before? From Facebook to the gig economy we were sold a story of short-term empowerment neglecting the potential for long-term exploitation.
In 2011 many were claiming that Twitter and Facebook had helped foment the Arab Spring and were eagerly applauding a new era of non-hierarchical connectivity that would empower ordinary citizens as never before. But fast forward seven years and those dreams seem to have morphed into a dystopian nightmare.
It’s been well documented that the deployment of powerful AI algorithms has had devastating and far-reaching consequences on democratic politics. Personalization and the collection of data are not employed to enhance user experience but to addict and profit from our manipulation by third parties.



Mustafa Suleyman co-founder of DeepMind has warned that just like other industries, AI suffers from a dangerous asymmetry between market-based incentives and wider societal goals. The standard measures of business achievement, from fundraising valuations to active users, do not capture the social responsibility that comes with trying to change the world for the better.



One eerie example is Google’s recently launched AI assistant under the marketing campaign “Make Google do it”. The AI will now do tasks for you such as reading, planning, remembering, and typing. After already ceding concentration, focus and emotional control to algorithms, it seems the next step is for us to relinquish more fundamental cognitive skills.



This follows an increasing trend of companies nudging us to give up our personal autonomy and trust algorithms over our own intuition. It’s moved from a question of privacy invasion to trying to erode control and trust in our minds. From dating apps like Tinder to Google’s new assistant the underlying message is always that our brains are too slow, too biased, too unintelligent. If we want to be successful in our love, work or social life we need to upgrade our outdated biological feelings to modern, digital algorithms.



Yet once we begin to trust these digital systems to make our life choices we will become dependent upon them. The recent Facebook-Cambridge Analytica scandal of data misuse to influence the U.S election and Brexit referendum gives us a glimpse into the consequences of unleashing new and powerful technology before it has been publicly, legally and ethically understood.



We are still in the dark as to how powerful these technologies are at influencing our behavior. Facebook has publicly stated that they have the power to increase voter turnout. A logical corollary is therefore that Facebook can decide to suppress voter turnout. It is scandalous just how beholden we are to a powerful private company with no safeguards to protect democracy from manipulative technology before it is rolled out on the market.



A recent poll from the RSA reveals just how oblivious the public is to the increasing use of AI in society. It found only 32% of people are aware that Artificial Intelligence is being used in a decision making context, dropping to 9% awareness of automated decision making in the criminal justice system. Without public knowledge, there is no public debate and no public debate means no demand for public representatives to ensure ethical conduct and accountability.



As more powerful AI is rolled out across the world it is imperative that AI safety and ethics is elevated to the forefront of political discourse. If AI’s development and discussion continue to take place in the shadows of Silicon Valley and Shenzhen and the public feel they are losing control over their society, then we can expect in a similar vein to Brexit and Trump a political backlash against the technological “elites”.



Long-Term Risks



Yet the long-term risks of AI will transcend politics and economics. Today’s AI is known as narrow AI as it is capable of achieving specific narrow goals such as driving a car or playing a computer game. The long-term goal of most companies is to create general AI (AGI). Narrow AI may outperform us in specific tasks but general artificial intelligence would be able to outperform us in nearly every cognitive task.



One of the fundamental risks of AGI is that it will have the capacity to continue to improve itself independently along the spectrum of intelligence and advance beyond human control. If this were to occur and super-intelligent AI developed a goal that misaligned with our own it could spell the end for humanity. An analogy popularized by cosmologist and leading AI expert Max Tegmark is that of the relationship between humans and ants. Humans don’t hate ants but if put in charge of a hydroelectric green energy project and there’s an anthill in the region to be flooded, too bad for the ants.



Humanity’s destruction of the natural world is not rooted in malice but indifference to harming inferior intelligent beings as we set out to achieve our complex goals. In a similar scenario if AI was to develop a goal which differed to humanity’s we would likely end up like the ants.



In analyzing the current conditions of our world it is clear the risks of artificial intelligence outweigh the benefits. Based on the political and corporate incentives of the twenty-first century it is more likely advances in AI will benefit a small class of people rather than the general population. It is more likely the speed of automation will outpace preparations for a life without work. And it is more likely that the race to build artificial general intelligence will overtake the race to debate why we are developing the technology at all.



Read Original article here
https://theconversation-room.com/2018/08/28/do-the-benefits-of-artificial-intelligence-outweigh-the-risks/

Its time to take a decision to adapt artififical Intelligence and machine learning to grow your business with Aloha Technology which can help you to adapt AI & ML.

Monday, 10 December 2018

Some Facts About Artificial Intelligence

Artificial Intelligence is a concept that concerned people from all around the world and from all times. Ancient Greeks and Egyptians represented in their myths and philosophy machines and artificial entities which have qualities resembling to those of humans, especially in what thinking, reasoning and intelligence are concerned.

Artificial intelligence is a branch of computer science concerned with the study and the design of the intelligent machines. The term of "artificial intelligence", coined at the conference that took place at Dartmouth in 1956 comes from John McCarthy who defined it as the science of creating intelligent machine.

Along with the development of the electronic computers, back in 1940s, this domain and concept known as artificial intelligence and concerned with the creation of intelligent machines resembling to humans, more precisely, having qualities such as those of a human being, started produce intelligent machines.

The disciplines implied by the artificial intelligence are extremely various. Fields of knowledge such as Mathematics, Psychology, Philosophy, Logic, Engineering, Social Sciences, Cognitive Sciences and Computer Science are extremely important and closely interrelated are extremely important when it comes to artificial intelligence. All these fields and sciences contribute to the creation of intelligent machines that have resemblance to human beings.

The application areas of artificial intelligence are extremely various such as Robotics, Soft Computing, Learning Systems, Planning, Knowledge Representation and Reasoning, Logic Programming, Natural Language Processing, Image Recognition, Image Understanding, Computer Vision, Scheduling, Expert Systems and more others.

The field of artificial intelligence has recorded a rapid and spectacular evolution since 1956, researchers achieving great successes in creating intelligent machines capable of partially doing what human beings are able to do.

Obviously, researchers have encountered and still encounter several problems in simulating the human intelligence. An intelligent machine must have a number of characteristics and must correspond to some particular standards. For instance, the human being is able of solving a problem faster by using mainly intuitive judgments rather than conscious judgments.

Another aspect that researchers have considerably analyzed was the knowledge representation which refers to the knowledge about the world that intelligent machines must have in order to solve problems such as objects or categories of objects, properties of objects, relations between objects, relations such as those between causes and effects, circumstances, situations etc.

Moreover, another challenge for researchers in the field of artificial intelligence refers to the fact that intelligent machines must be able to plan the problems that need to be solved, to set a number of goals that must be achieved, to be able to make choices and predict actions, they must be able learn, to understand the human languages and to display emotions and be able to understand and predict the behavior of the others.

Artificial intelligence is an extremely challenging and vast field of knowledge which poses many questions and generates many controversies but also solves many problems that technology and industry are confronting with today and may offer many answers in the future.

Aloha Technology Helps Global Companies Race to the Top With Artificial Intelligence and Machine Learning. Artificial Intelligence and Machine Learning are technologies that can enhance data collation and analysis to release employees from rudimentary and time-consuming efforts. Aloha Technology can develop and deploy software enabled with AI and ML.

Monday, 26 November 2018

How AI is reinventing the mobile apps?


The word “Mobile App” is so familiar nowadays that there are thousands of applications for a newborn baby to 100 years old. There are almost 3.8 million Apps in the play store. Every day at least 10 applications are coded and uploaded into different play stores available in the market. Mobile app development became a passion for many as it is yielding impeccable benefits for everyone.


With Artificial intelligence in the market, Mobile Apps are taking its full advantage to make our day to day life simpler and automated. Even though there are millions of applications in the play store, only a few are successful. So it is very important to choose the best mobile application development company to stand out among your competitors.



What is artificial intelligence?

In a simple phrase, we can describe Artificial intelligence as “Intelligence beyond Humans”. We have been listening to the phrase “Robots will replace humans very shortly”. But have you ever thought how it would be possible?

Artificial Intelligence is a computer science engineering subject. In this field, we study how to make robots think intelligently. So that they perform all the tasks that a human can do. AI is everywhere and vast in use from health care to technology. The concept behind automatic cars or trains is Artificial intelligence.

How Artificial intelligence can work with mobile apps?

If you are up to date with the Amazon products or technology, then you must have known about the Amazon product Alexa. It works on your voice commands when connected to your households. If not electronics, have you heard about the driverless car apps?

These both work on artificial technology. Both artificial intelligence and mobile app reduce our work thereby our efforts. So mobile app development with artificial intelligence will lay roads to our future.

Benefits of mobile apps with AI

As said AI reduces human effort by maximizing the computerized technology. There are a lot of benefits by using AI with mobile Apps, some of them are
  • Chatbots (instant reply)
  • Big data analytics
  • Online reviews
  • More revenue
  • Voice assistants (Siri)

Conclusion:

Artificial intelligence is our future. If you want to be a successful person in the era of technology, then choosing the best mobile application development and artificial intelligence services is the first step to your success. Visit the news about Aloha Technology which Helps Global Companies Race to the Top With Artificial Intelligence and Machine Learning.

Thursday, 8 November 2018

AI in the Context of Digital Transformation



In the enterprise, no buzzword is as buzzy as the term “digital transformation”. If you spend any amount of time reading whitepapers, analyst research, or attending webinars you’ll see the term digital transformation used in conjunction with a wide range of enterprise-focused technologies ranging from data centers to application development, to enterprise architecture and AI and blockchain. But what does digital transformation even mean? And how does AI fit into the picture of how enterprises are thinking about AI and related cognitive technologies?

What is Digital Transformation?


Many industry pundits and authorities like to talk about the subject of digital transformation, but the concept boils down to the key idea that technology, and in particular digital technology (computers, networks, data, embedded systems, and the like), lead companies to transform the way they work to take advantage of the more efficient and advanced ways of working. You can think of digital transformation as the after effect of applying digital technology, perspectives, and methods to traditional problems.
In essence, digital transformation is key for organizations who want to remain relevant as technology continues its relentless advance. Organizations who remain bound to old and outdated paper-based processes, human labor-intensive activities, who operate with low information visibility and usage, and with low-skilled labor forces face a future where they could be rendered obsolete by organizations that dominate with the power of a business transformed by the use of digital technology like adapted by Aloha Technology. So, corporations, organizations, and countries don’t have much choice: they must find ways to digitally transform their organizations at increasing levels or face disastrous consequences.

Digital Transformation and the AI-Enhanced Organization


Since Industry 3.0 is at least 60 years old, and Industry 4.0 is now approaching three decades, many ask why companies haven’t already fully transformed their businesses to be digitally centric. Indeed, many of the above research institutions, consultancies, and think tanks are tackling that exact issue. The study conducted by McKinsey & Company said that “On average, industries are less than 40 percent digitized, despite the relatively deep penetration of these technologies in media, retail, and high tech”. Many studies point blame at the complexity of digitizing their businesses and difficulty working with their existing technology systems. It’s an odd paradox: these companies and organizations want to increasingly transform more of what they are doing, but their existing technology is getting in the way. The more technology an organization has, the harder it seems to transform them further. This sounds like a real problem.

In our newsletter and research on the AI-Enabled Future, we talk about the idea of the AI Enhanced Organization. In this vision of the future, we see three primary ways in which organizations will enhance their operations with AI. Summarizing the major conclusions from that research:


Read Original Article on https://ctovision.com/ai-in-the-context-of-digital-transformation/

Sunday, 4 November 2018

Does Synthetic Data Hold The Secret To Artificial Intelligence?


Could synthetic data be the solution to rapidly train artificial intelligence (AI) algorithms? There are advantages and disadvantages to synthetic data; however, many technology experts believe that synthetic data is the key to democratizing machine learning and to accelerate testing and adoption of artificial intelligence algorithms into our daily lives.
What is synthetic data?
When a computer artificially manufactures data rather than measures and collects it from real-world situations it’s called synthetic data. The data is anonymized and created based on the user-specified parameters so that it’s as close as possible to the properties of data from real-world scenarios.
One way to create synthetic data is to use real-world data but strip the identifying aspects such as names, emails, social security numbers and addresses from the data set so that it is anonymized. A generative model, one that can learn from real data, can also create a data set that closely resembles the properties of authentic data. As technology gets better, the gap between synthetic data and real data diminishes.
Synthetic data is useful in many situations. Similar to how a research scientist might use synthetic material to complete experiments at low risk, data scientists can leverage synthetic data to minimize time, cost and risk. In some cases, there isn’t a large enough data set available to train a machine learning algorithm effectively for every possible scenario so creating a data set can ensure comprehensive training. In other cases, real-world data cannot be used for testing, training or quality-assurance purposes due to privacy concerns, because the data is sensitive or it is for a highly regulated industry.
Advantages of synthetic data
Huge data sets are what powers deep learning machines and artificial intelligence algorithms that are expected to help solve very challenging issues. Companies such as Google, Facebook and Amazon have had a competitive advantage due to the amount of data they create daily as part of their business. Synthetic data allows organizations of every size and resource levels the possibility to also capitalize on learning that is powered by deep data sets which ultimately can democratize machine learning.
Creating synthetic data is more efficient and cost-effective than collecting real-world data in many cases. It can also be created on demand based on specifications rather than needing to wait to collect data once it occurs in reality. Synthetic data can also complement real-world data so that testing can occur for every imaginable variable even there isn’t a good example in the real data set. This allows organizations to accelerate the testing of system performance and training of new systems.
The limitations for using real data for learning and testing are reduced when using fabricated data sets. Recent research suggests that it is possible to get the same results using synthetic data as you would with authentic data sets.
Disadvantages of synthetic data
It can be challenging to create high-quality synthetic data especially if the system is complex. It’s important that the generative model creating the synthetic data is excellent or the data it generates will be affected. If synthetic data isn’t nearly identical to a real-world data set, it can compromise the quality of decision-making that is being done based on the data.
Even if synthetic data is really good, it is still a replica of specific properties of a real data set. A model looks for trends to replicate, so some of the random behaviors might be missed.
Applications of synthetic data
Whenever privacy concerns are an issue such as in the financial and healthcare industries or an enormous data set is required to train machine learning algorithms, synthetic data sets can propel progress. Here are just a few applications of synthetic data:
  • Synthetic data with record-level data can be used from healthcare organisation to inform care protocols while protecting patient confidentiality. Simulated X-rays are combined with actual X-rays to train AI algorithms to identify conditions.
  • Fraudulent activity detection systems can be tested and trained without exposing personal financial records.
  • DevOps teams use synthetic data to test software and ensure quality.
  • Machine learning algorithms are often trained with synthetic data.
  • Waymo tested its autonomous vehicles by driving 8 million miles on real roads plus another 5 billion on simulated roadways. Other automakers are using video games such as Grand Theft Auto to aid its self-driving technology.
While synthetic data isn’t fool proof, it is an important tool to augment machine learning algorithms when real data is too expensive to collect, inaccessible due to privacy concerns or incomplete.
Aloha Technology Helps Global Companies Race to the Top With Artificial Intelligence and Machine Learning


Read Original Article on https://www.forbes.com/sites/bernardmarr/2018/11/05/does-synthetic-data-hold-the-secret-to-artificial-intelligence/#50742be342f8

Wednesday, 31 October 2018

How Machine Learning Enhances The Work of Whole Industries

The time has come to speak about artificial intelligence and machine learning, robots, in the present tense. They are no longer just around the corner. They’re here today!
Merrill Lynch, the investment arm of The Bank of America predicts the global market for AI and robots will approach $153 billion by 2020. Moreover, some industries will experience up to a 30% productivity increase by incorporating these technologies.
Fully functional artificial intelligence (AI) is closer than we might think. Working prototypes already exist. Computer engineers haven’t yet created a true AI — but their work in this area has already had a great impact on several industries.

AI vs. ML

Before looking at machine learning in various industries, we need to take a look at the difference between ML and AI.
ML and AI are nearly synonymous. Yet, there is still a distinction. Artificial intelligence is a computer program. It is able to perform what humans normally can, such as speech recognition, translation from one language to another, or decision making. These computer programs can take steps to accomplish certain objectives.
Machine learning is a form of AI where computer systems actually learn, develop, enhance themselves and “evolve” when introduced to new and/or additional data. There is no need to program the computer in a traditional sense. Machine learning models are based on human learning techniques.
Intelligent machines are actually able to differentiate between streams of new information using available knowledge while making logical connections, combining ideas, and following thought patterns just like humans do. As Jen-Hsun Huang, CEO of Nvidia put it: “You essentially have software writing software.”

A helping “iron hand” for the steel industry

For instance, steel manufacturing companies can greatly benefit from AI tools such as ML-based optimization, control systems, and sensors. AI has the great potential and capacity to implement different technologies. In the end, steel production can be done more efficiently and more profitably.
Let’s take a look at two areas where ML can be of use in steel manufacturing.
Optimization of production: When it comes to steel manufacturing industries, there are always a few unplanned events. For instance, the molten steel can break and pour out of the mold during the casting process. This can slow down the production of steel and even endanger the lives of workers. This can be both dangerous and expensive. ML play an important role in predicting such occurrences and thus helping to minimize them.
Predictive maintenance: Steel manufacturing companies schedule weekly maintenance check-ups. ML can assist in this procedure by predicting a particular machine required maintenance. So instead of the fixed weekly maintenance schedules, an as need-based maintenance plan can be implemented. This is vital for manufacturing companies who have a large quantity of on-site industrial machines.

Applications of ML in pharma and medicine

The healthcare sphere is sitting on the brink of a treasure trove. The more data one has in the realm of healthcare, the more successful it is. ML helps achieve a more precise decision-making process. It also enhances the efficiency of clinical research, trials and newer tools for physicians and insurers.
ML healthcare applications during the last three years have attracted the highest level of funding. ML and AI assist physicians by informing them of more precise diagnoses of their patients due to a more comprehensive pool of database information. Some unique scanners are equipped with special hardware and systems which help to find health problems quicker and more accurately.

Business and marketing adopting ML

General business is also being impacted by the AI invasion. Of the 168 largest companies in the world, as many as 76% are using machine learning technologies to enhance their sales growth strategies, according to an MIT survey.
MarketMuse is an AI-powered research assistant that accelerates content creation and optimization so you can win more often in organic search. This is basically banking on AI as it also is moving toward helping determine more of your content marketing strategy.

AI in the media and entertainment industry

After certain breakthroughs in ML, many smart products have made the leap from sci-fi movies to the home. Superhero Ironman’s virtual assistant JARVIS (Just A Rather Very Intelligent System) is echoed in smart assistants such as Alexa and Google Assistant. It may not detain criminals but it can do a range of practical chores via IoT household devices. NVIDIA uses VR technology to create a Holodeck similar to one in the sci-fi series Star Trek.
ML and AI technologies are being used for creating movies, enhancing visual design, post-production, and many other processes.
AI applications in the M&E industry exist mainly in four categories: marketing and advertising, service comprehension, search and classification, and experience innovation.

Conclusion

AI and ML are popping up everywhere. They are seen in education, transportation or in financial services, which could be an article on its own for the next blog. Machine learning systems continue to pave a new road for humanity. Machine learning influences entire industries and will continue to do so.

Aloha Technology helps Global Companies Race to the Top With Artificial Intelligence and Machine Learning

Read Article on https://medium.com/@onix_systems/how-machine-learning-enhances-the-work-of-whole-industries-5623d9ec685

Sunday, 28 October 2018

Most of the companies are in hurry to adapt artificial intelligence- here whats tripping them up


  • Companies that are rushing to embrace artificial intelligence technologies are running into big problems with their data.
  • Some companies don't have enough data, others have it in disparate places, and still others don't have it in a usable format.
  • Because of such challenges, some early adopters have abandoned AI projects.

    If there's one big thing that might thwart companies' headlong rush to adopt artificial intelligence for their businesses, it's data.
AI generally requires lots of data. But it needs to be the right kind of data, in very particular kinds of formats. And it often needs it to be "clean," including only the kind of information it needs and none of what it doesn't.
Troy Wolverton All of that adds up to a big problem for many businesses.
"The biggest challenge most organizations face when they start thinking about AI is their data," said Paul Daugherty, the chief technology and innovation officer of consulting firm Accenture, in an interview earlier this month. He continued: "Often we're seeing that that's the big area that companies need to invest in."
Corporations large and small and across multiple industries are enthusiastic about AI and related technologies such as machine learning. Many are already adopting it to do things such as improving their customer service, flagging suspect transactions, andmonitoring employees' performance. Accenture considers AI the "alpha trend" — the most important trend in technology not only today, but for the next 10 to 20 years.
But for companies to really reap the benefits — to be able to detect trends, identify anomalies, and make predictions about future behavior — they're going to have to come to terms with their data.
And unfortunately, many companies aren't in good shape when it comes to data. In a recent survey by consulting firm Deloitte, a plurality of executives at companies that are early adopters of AI ranked "data issues" as the biggest challenge they faced in rolling out the technology. Some 16% said it was the toughest problem they confronted with AI, and 39% said it ranked in the top three.

Companies are facing multiple problems when it comes to data

Some companies don't have the data they need. Others have databases or data stores that aren't in good shape to be tapped by AI. Still others are dealing with issues related to trying to keep their data secure or maintain users' privacy as they prepare for it to be used by AI systems.
"Getting the data required for an AI project, preparing it for analysis, protecting privacy, and ensuring security can be time-consuming and costly for companies," Deloitte analysts Jeff Loucks, Tom Davenport, and David Schatsky said in the report. "Adding to the challenge is that data — at least some of it — is often needed before it is even possible to conduct a proof of concept."
Deloitte
One particular problem companies are facing on the data front is that it's often housed in different departments and disparate databases, noted the Deloitte analysts. Customer service data may be in one place, for example, while financial records may be elsewhere. The trouble for companies is that their AI systems will often need to tap into multiple data stores.
"AI creates a need for data integration that a company may have managed to avoid until now," Loucks, Davenport, and Schatsky said in their report. "This can be especially challenging in a company that has grown by acquisition and maintains multiple, unintegrated systems of diverse vintages."
Indeed some companies have run into such big problems in trying to get the data they needed for an AI effort that they've ended up abandoning or postponing the project, the Deloitte analysts said.
That's why it's crucial that companies assess the state of their data before embarking on AI projects, said Daugherty. It helps them set realistic expectations, he said.
"The big expectations factor for companies is really understanding the data — what shape the data's in to drive the right AI results," he said.
Aloha Technology can develop and deploy software enabled with AI and ML.



Read Original Article here
https://www.businessinsider.in/Many-companies-are-stumbling-as-they-rush-to-adopt-artificial-intelligence-heres-whats-tripping-them-up/articleshow/66404384.cms?

Friday, 12 October 2018

Data is at the Epicenter of Digital Transformation


Digital Transformation is leading to many changes in the way organisations function these days. It has generated new markets, new positions, eased existing jobs as well as added value in various existing business processes like production, supply-chain, communication and logistics.
Digital technologies like Artificial Intelligence, Machine Learning, the Internet of Things and Virtual Reality have impacted every component of business and transformed the different procedures that traditional businesses used to practice. At the epicentre of all of these technological overhauls is massive amounts of data.

As organisations are starting to adopt the digital revolution in their day-to-day activities, it is becoming necessary for enterprise owners to consider efficient methods of synthesising all of the data that Digital Transformation has entailed.

The Pricing Hurdle

An important hurdle in dealing with data analytics effectively is the fact that the cost of data, specifically the cost of storage of data is skyrocketing. Despite the availability of tools like cloud processing and other storage alternatives, the average cost of data storage is tilting toward being unsustainable.

Apart from that, due to the complexities of Big Data, data processing is also turning out to be a costly affair. The sophisticated digital systems that we work with today require real-time data and massive volumes of it. To achieve this, enterprises will have to hike up their investments in data storage and processing.

The Skills (Personnel) Hurdle

The need for dedicated executives for data analysis is extremely essential in the current climate. Digital Transformation is touching upon business processes in a vital way, and data being a crucial component in the process, it requires a dedicated department to ensure its smooth processing and analysis.

The whole point of Digital Transformation is to strengthen business operations productively and save time and money. If data management would take up a lot of time of top officials, the purpose of digitisation gets diluted. Companies must recognise the implication of Digital Transformation and invest in personnel with appropriate expertise.

Future of Data Analytics – Dismantling Hurdles

Big Data has emerged as an essential component of Digital Transformation in business. Companies are highly concerned about their well-being in the long term. For this, organisations are investing heavily on predictive data processors. Data analysis is a key task in multiple business operations including marketing, finance, security and insurance.

Essentially, data gathered in a computer system is of next to no use. The right kind of expertise must be channelled into making productive use of the gathered data. At the current rate, Big Data is most likely to evolve at a higher pace and hence, in the near future, companies must look at long-term plans to ensure that consistent data analytics efforts are being conducted.

Industries can invest in technology that augments the stories that Big Data and analytics provide in real-time, driving decision making on the basis of real data. Vouching for services like the ones offered by Aloha Technology can help startups and small enterprises get a head start on data-driven Digital Transformation. Aloha Technology is a suitable option for large businesses as well because consistency and experience play an important role in long-term data management.

The ultimate goal of any organisation is to convert vital data into actionable insights so that the bottom line is positively and appropriately affected by it. Investing in the perfect personnel, investing the right amount of money and assigning enough capital and space to data management will help a company go a long way at a time when the entire market is engulfed by Digital Transformation.

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Tuesday, 9 October 2018

Landmark changes brought about by Artificial Intelligence and Machine Learning


This past week, some of you may have carried out a few regular, day-to-day activities via mobile phones like ordering food online, booking a cab, and reserving seats for a movie or book a table at a restaurant. Surprisingly, less than a decade ago, almost all of these tasks would have required us to interact with many different people - but today, all these and many more actions can be carried out without any human contact. Such is the impact of enterprise apps and Artificial Intelligence (AI) and Machine Learning (ML).
Gradually, almost all the brands that we interact with on a daily basis are making us communicate with machines and bots for basic functions, grievance redressal, and guidance such as Aloha Technology. Customer service is an essential pillar of all businesses. Artificial Intelligence (AI) and Machine Learning (ML) are making this pillar much more accurate, quick, cost-efficient and far more intelligent than ever before.
Here’s how AI & Machine Learning are transforming Enterprise Customer Services:

Cost-Effectiveness 

It is a fact that infrastructure and IT support for chatbots and AI-enabled services are proving to be extremely cost-effective. Bots essentially replace a human Customer Service representative and this quite evidently proves to be much more lucrative as reactions are immediate and 24*7.
Moreover, in our fiercely competitive market conditions, the standards of Customer Relationship Management (CRM) has elevated formidably. This has raised costs considerably. AI proves to be a viable economic alternative. Third-party services like the ones provided by Aloha Technology will prove to be remunerative by introducing automated, AI-enabled CRM software to your custom enterprise apps.

Prompt Customer Service

Artificial Intelligence and Machine Learning have essentially augmented the experience of answering customer queries and complaints because a machine can attend to the customers round-the-clock - a feat that is expensive for human employees to carry out. The average time taken by machines as compared to humans is also much shorter. This considerably enhances the quality of customer experience.
For startups or small businesses, a CRM mechanism enabled with AI and ML can be extremely beneficial. It can successfully regulate customer relationship much more efficiently and for a longer duration than human employees and retain valuable clients through the process.

Quality Service

In this digital age, business owners are vying for the best quality services at the least cost. In business terms, we call this ‘optimization’. Artificial Intelligence and Machine Learning can deliver one of the best data-pools required for functions like automated Customer Service. With innovations being carried out in this field every day, bots are becoming smarter and they are capable of replacing humans in digital communication for rudimentary functions, no matter how complex the requests or queries.
Due to the vast bank of knowledge that a machine possesses, especially in comparison with a human being, it is incomparably more advanced than what humans can provide. This doesn’t mean that humans are replicable. It’s just that rudimentary work can be done with cheaper and more accurate alternatives. Today, it has become a dire necessity for enterprises to step up their game by inculcating technology profitably in processes like CRM.

Challenges…and Solutions

Technology-wise like Artificial Intelligence and Machine Learning are at a nascent stage. But for its power to revolutionize a process? The stage is prime to drive business-value for any type or size of business. Companies like Aloha Technology strive to support business operations and processes that are key to helping streamline business workflows and save costs.
In terms of streamlining of costs, Artificial Intelligence and Machine Learning serve as a boon to business owners. The technology is capable of delivering quality services and has a higher potential for efficiency, considering the alternative. In the future, the quality of customer service can only tread the path of increased speed and efficiency of Artificial Intelligence and Machine Learning.

Website: http://www.alohatechnology.com/
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Monday, 8 October 2018

The Rise of AI & Machine Learning in the Transportation & Logistics Industry


Rapid digitization is forcing enterprises to refine their operations. Companies are looking to become more agile and efficient. Tasks that would once require weeks to be carried out are being conducted in minutes. Thanks to superior enterprise technology, business strategies are focused on fast results in lower costs.
The development of Artificial Intelligence and Machine Learning have set the wheels of evolutionary automation processes in motion. Outsourcing services providers like Aloha Technology are making new strides in the development of such technologies in assisting business operations.
Business processes relating to communication, logistics, data collection, data analysis as well as interfacing with customers have been handed over to machines. AI & ML is revolutionizing the Transportation & Logistics Industry.