Showing posts with label Machine Learning. Show all posts
Showing posts with label Machine Learning. Show all posts

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

Thursday, 3 January 2019

A Beginner’s Guide for Machine Learning: A Roadmap to Intelligent Machine

Machine learning is undoubtedly the biggest topic of discussion in the digital world right now. In layman’s term, we define machine learning as the computer programs which learn by itself (through experiences) instead of any hardcoded rules. This is one of the major advantages of ML over AI. As Machine Learning involves learning from various different experiences and then using those experiences to predict the possible/correct outcomes.
Example: Suppose we need to create an application that recognizes a flower name sunflower. For that, we need to write a huge amount of rules and code to identify/detect it, especially various features of the flower to detect. Here the problem is that if a flower is present with a different color, size or shape we are not able to write the code beforehand (well in advance). Thus, we have to use machine learning to solve this issue.
To solve any Machine Learning Problem there are 4 steps that need to be followed:
  1. Collect Data
  2. Select Model
  3. Train Model
  4. Test the Model

Few examples of applications areas in Machine learning but not limited:

Giants like Google, Microsoft, Uber, Amazon, Facebook, Instagram, Apple constantly use such learning algorithms to gain valuable insights from data, recognize new trends and thus use them to increase their customer base as well as profits. The value of machine learning technology has been recognized by companies not only in the technology sector but across several industries that deal with huge volumes of data.

Healthcare:
Machine learning is becoming the fastest growing trend in the healthcare sector. Things are gone away when one needs to take any medical insurance simply by just medical test and some few documentation works. Time has come now, that if someone needs to buy insurance then he needs to wear a smart device (wristband type) for around one month. That device will keep all the track records of your day to day activity like how many times or hours you are doing exercise, blood pressure, how many times your heart beats in one minute, how many times you are taking fast food, you are taking any medication or not and so on. Hence, it will provide real-time patient information. Doctors and medical experts can use this information to analyze the health condition of an individual, draw a pattern from the patient history, and predict the occurrence of any ailments in the near future. Aloha Technology can help your enterprise for adapting Machine Learning

E-commerce/Social Media:
Top Companies like Amazon, Facebook, flipcart are hopefully using machine learning technology to analyze & observe the purchase/order history of their customers and make personalized & relevant product recommendations for their next purchase/order. Like in Facebook, it will give you friends suggestion (people you may know) and some pages which you might have liked or viewed earlier. Aloha Technology can help your E-Commerce website to adapt Machine learning.

Personal Assistant:
Personalized Web browsers, personalized movie-based recommendation system, Mood-based music players recommendation by providing lot of sample inputs and through experiences to train the model.

Intelligent Robots:
Lots of research have done in the field of robotics based on ML/DL algorithms and formed like IBM Watson, KIRIBO, Emotion based robot, Sophia, CHATBOTS (though Chatbots have been around for some time, they have evolved significantly. From command–based chatbots which could answer pre-defined limited set of questions and required manual help for complex ones to train, to AI chatbots that became smarter with time through machine learning, chatbots have witnessed an impressive change), SIRI, CORTONA (Cloud-based virtual assistant), are the few names which have been made to do the things. As part of machine learning trends, personalization of search results by using AI-powered analytics is going to be the next big leap in business.

Financial Sector:
The technology is also used to identify opportunities for investments and trade. It will also lower the risk of the market & helps to prepare better in order to prevent fraud/s. Soon, companies that bank upon AI and machine learning will be in a better position to anticipate risks, predict unplanned expenses, and do so much more to run lean in competitive markers. Although not every function can be automated, AI can be counted upon to make analytics more precise and efficient when compared to the manual method of running analytics. All these are possible as the working on the Internet is growing sharply, which lead to an increase in volumes of data gathering.

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.

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

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.

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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.