Wednesday, 13 February 2019

The Roadmap for a Digital Transformation

The future of insurance will be digital. That much is certain. The industry might have been slow to feel digital technology’s impact, protected by regulation, the size of companies’ in-force portfolios, and customers’ tendency to stay put with their insurers. But the pressure is mounting. In auto insurance, a handful of direct carriers already enjoy the lion’s share of profits. Disruption of other lines of business will surely follow. Distribution channels, products, underwriting technology, competitors, and even business models will shift as technology attacks market inefficiencies and customer expectations evolve.

A growing number of executives, though, are facing up to digital reality. They know that digital technology can significantly improve the performance of their current business. They know that first-movers have an advantage. And they are keenly aware that digital can give birth to entirely new business models that shake up sectors, leaving companies that fail to adapt struggling to survive (newspapers are a case in point). They have therefore taken steps toward transforming their businesses and Aloha Technology is helping them.
The guiding principles for Digital transformation roadmap can be defined below

Defining value

To set a digital transformation on the right course a company must place it at the core of its agenda, and understand the magnitude of that undertaking. It is not for the fainthearted, but CEOs are heading in the right direction if they grasp the fundamental importance of heavyweight management commitment, are willing to make significant investments, and set clear, ambitious targets.
Secure senior management commitment
Any transformation will be dead in the water if it does not have the commitment of the CEO and the leadership team. That statement seems almost glib, given how often CEO commitment is positioned as the solution to any major challenge. But the CEO cannot simply sanction a digital transformation; he or she must communicate a vision of what needs to be achieved, and why, in order to demonstrate that digital is an unquestionable priority, make other leaders accountable, and make it harder to back-track.
Set clear, ambitious targets
To set the organization’s sights at the right level, investments need to be linked to clear, ambitious targets. This helps on three fronts. First, it signals the magnitude of what digital technology can deliver. Without targets, people who find it hard to accept that the old ways of doing things were massively inefficient might be content to sign up for a 10 percent improvement in cycle time, for example, when 100 percent is possible. External benchmarking can help in this respect by reinforcing the conviction that cutting the time it takes to, say, process a claims submission from 90 minutes to 20 is not good enough if someone else has reduced it to four. A company can be certain that if it does not match that benchmark soon, others will.
Targets are needed for each source of value creation—cost savings, revenues, improved performance of agents, and satisfaction of employees and customers—and for new ways of working and the new capabilities required.
Secure investment
Digital transformation is likely to require significant investment. European insurer Axa, for example, invested €950 million over just two years. Our experience suggests that in IT alone, companies with outdated systems might need to double their current spending over a five-year period. That investment is likely to result in lower profits for a while—but without it there is a serious risk to profits in the longer term. Importantly, companies will need to allocate investment both to improve the current business and to build new businesses as the insurance model evolves. To acquire expertise in new fields and keep abreast of innovation, for instance, insurers will need to invest in partnerships or a venture capital arm, perhaps both, as well as in their own innovation labs.

Launch and acceleration

It is easy to launch change initiatives. It is hard to keep them afloat and spawn more. Often companies decide to fund several, assign people, even set up separate units. But then the initiatives fail to take off and the old ways of doing business continue much the same—at which point executives wrongly conclude there is no urgency as the market is not ready for change.
Start with lighthouse projects
To win early support, companies should start with projects that offer potential for significant rewards with manageable risk. Such projects include customer services activities and the redesign of the claims process, from the moment a customer needs to file a claim to the moment of reimbursement. Customers will be delighted, cost savings can be as high as 40 percent, and effectiveness, measured in return on investment, can rise by as much as five percentage points.
Appoint a high-caliber launch team
The importance of securing a highcaliber launch team, often under a CDO, cannot be overstated. A CDO can prove invaluable in co-ordinating a transformation—avoiding duplication by devising a methodology for the redesign of customer journeys that can be replicated across the organization as digitization efforts are extended, for example. He or she can also ensure the appropriate technology and skills are in place, decide the sequence of the transformation, monitor progress against targets, and ensure that tactical day-to-day priorities get the attention they need. But the role of CDO is a temporary one. At the end of the nineteenth century, many companies employed a chief electricity officer to ensure supplies of what was a new industrial commodity. A few years later, none did. Key recruits to the launch team include designers to contemplate customers’ unmet needs and inform the creation of experiences, products, and services; data scientists; scrum masters to facilitate agile development; and developers who can work in the modern IT environment. Roughly, an insurer with premiums worth more than $5 billion should expect to hire between 20 and 100 new specialists during the first 18 months of a transformation.
Organize to promote new, agile ways of working
The way a company organizes itself is key to a successful launch. Setting up a digital unit independently of the organization will promote new ways of working essential for digital success, such as agile product development, test-and-learn methods that speed progress while keeping the focus on customers, and cross-functional teams that pool specific types of expertise.
Nurture a digital culture
We have touched upon how digital ways of working and thinking—fast, collaborative, empowered—will be the default mode of new recruits with digital skills. These methods also need to take hold across the organization, and now is the time to start nurturing them.

Scaling up

At the 18-month point, companies should be making good progress. They should have a handful of initiatives up and running and be starting to capture value. But just when everything seems under control is also the time to supercharge the transformation and do everything on a grander scale. The thoughtful sequencing of subsequent initiatives is key to this. In addition, close attention will need to be paid to building more capabilities. And to reap the full rewards of a transformation, eventually an entirely new operating model will be required.
Sequence initiatives for quick returns
Sequencing with a view to quick returns is key to building scale fast. The more value a transformation captures as it progresses, the more it becomes self-funding and the greater the support it garners. Often a company’s approach is to let a thousand flowers bloom. But this spreads scarce resources thinly. Moreover, transformation incurs costs at a time when competition is probably putting pressure on margins. Hence the imperative to thoughtfully pursue a manageable number of digital initiatives to tend the performance of the core business while cultivating future sources of growth (see “Capturing value from the core”).
Build capabilities
By now it will be apparent that insurers will have to invest in more than just digital technologies themselves to scale up digital initiatives. Marcus Ryu, cofounder and CEO at Guidewire Software, contends that it is only by modernizing core operating platforms—most importantly policy administration, billing, and claims systems—that insurers can externalize the data and business logic necessary to deliver a satisfying digital experience for the policyholder or distribution partner.
Skills as well as systems will need to be boosted. But if a company struggles to hire 20 to 100 new people for the launch team, how should it go about hiring several hundred? Searches are likely to extend to developer communities and to technology conferences and similar events. The quest for talent might even lead companies to establish partnerships with software providers.
Adopt a new operating model
Whatever structures a company chooses initially, it will reach the stage when only a fundamental organizational redesign will do. Silos drawn along functional lines have always been a drag on collaboration and performance in large organizations. In the digital age, when companies need to reinvent the way they work on the fly, an inability to connect all parts of the organization to share data, expertise, and talent can be crippling.
That is why companies will have to lean away from a traditional matrix structure with rigid functional boundaries if the transformation is to succeed. They will need a network structure, organizing around sources of value, with product managers empowered to make decisions with implications that cut across functions. Teams will not be permanent. They will be dissolved when they capture the value at stake, then regroup around new sources of revenue growth or cost reductions. Some companies call them scrum teams, others tiger teams, portfolios, or tribes. Whatever the label, the ossified matrix is giving way to a more agile one. In other words, the entire organization, not just IT, will adopt an agile approach to working. “Agile principles are now standard operating procedure for software design,” says Marcus Ryu, “but they’re also applicable any time you need to orchestrate a large number of people to get something complex and multi-faceted done over an extended time frame.”

Conclusion

A closing thought, and perhaps one that reframes the challenge: the term digital transformation puts the emphasis on technological change. But it becomes clear to anyone who understands digital technology’s potential that what is afoot is less of a digital transformation and more of a fundamental rethink of the corporate model, for which digital technology is the catalyst. Sources of revenue, efficiency, and the organization’s structure are all up for scrutiny, as are talent models, which need to offer more flexible, more empowering, and more rewarding career paths. Some executives might feel the reframing makes the challenges more daunting still, others that it makes the opportunities more exciting. We are in the second camp. Aloha Technology will guide you to adapt digital transformation to increase your revenue.
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Tuesday, 12 February 2019

The Advantages of an Advantage in Digital Transformation

Those that lead are able to collect and analyze data that followers can’t. Think about the first climber to reach the top of the mountain, they have a new and different view slower followers don’t.  If you believe, as I do, that understanding data is the secret sauce of the digitally transformed enterprise, then having data not available to your competitors is a treasure!
Those that achieve digital transformation before their competitors will have advantages - and advantages have advantages. Not only do they have new experiences and new data to analyze and understand, they are able to develop and implement new strategies that make no sense to slower competitors without access to the new data.  The digitally transformed can act on data invisible to slower competitors.
Think about the data Apple was able to collect and analyze on their iPhone in the years before Blackberry responded with their first smartphone.  Apple was quickly moving on to improving smartphones and adding new features, while Blackberry was still trying to develop their first. Apple had a data enhanced view far different and more advantageous than Blackberry’s.
Data analyzed by slower competitors does not lead them to the same conclusions as faster and digitally transformed competitors. The data of slower competitors provides an out-of-date view of the market based only on the limited data they have access to.
Companies that digitally transform before their competition receive the benefits of what I call the A2s (advantages have advantages) phenomena.  Competitive advantages provide new opportunities, which provide their own new advantages.  It is a snowball effect where those that digitally transform early benefit from the A2s phenomena, and at an accelerating pace.
Opportunity costs, is a term economists use to describe the loss of potential gain from X investment, when Y investment is chosen.  When enterprises decide to respond slowly or not at all to a competitor’s digital transformation, the opportunity cost is the loss of the A2s phenomena and associated benefits.



Read Original Article on https://www.cognizant.com/futureofwork/article/the-advantages-of-an-advantage-in-digital-transformation
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Monday, 11 February 2019

Why Finance’s Digital Transformation Has Not Fully Met Expectations

At least half of finance executives in The Hackett Group 2018 Digital Transformation Performance Study said their digital transformation efforts have not met the expectations of management relative to progress or delivery of their ful projected business impact.

Why?
Many finance organizations are still busy developing rather than executing a digital strategy
In many cases, vendors have inflated expectations with talk of unrealistically quick ROI
IT investment in digital new projects remains relatively low


A reality check

It’s easy to get caught up in the buzz that digital technologies like artificial intelligence, robotic process automation (RPA), and advanced analytics are rapidly revolutionizing the way finance does its work. At some companies, this is certainly the case.
Through our research and interaction with clients, we’ve identified successful examples of digital implementation on a broad scale. We worked with a large telecom to overhaul its P&L forecasting process by adopting an advanced analytics solution that produced ranges of possible outcomes vs. a less reliable, single-point forecast. We also partnered with a European manufacturer with a global presence that has set up an RPA center of excellence to quickly scale up its deployment of robots in finance and accounting.
But at typical finance organizations, the story is different. Our study indicates that nearly 60% of typical finance organizations are still developing their digital roadmap. Only 21% have a plan already. Without a clear strategy, finance is holding off on launching digital initiatives. As a result, it’s not moving forward fast enough or producing expected business results.
There’s also evidence of a gap between finance’s digital adoption growth-rate expectations and the realization of such predictions. Every year, many studies project significant increases in broad-based adoption of digital tools. Our own research confirms it. Yet, year after year, we fail to see the kind of significant pickup in adoption forecasted the year before. Consequently, finance is not making as much progress toward truly transformative digitally enabled change. The predictions may be more aspirational than realistic.

Incorrect assumptions

One common hurdle to delivering meaningful business impact is starting with the wrong premise. Our study indicates that cost reduction is the most frequently cited business rationale for finance digital transformation. It outranks the next most likely driver – increasing business value – by 73%. However, in many cases, the value of digital transformation is not primarily cutting expenses; while some new technologies, primarily RPA, reduce cost by eliminating manual intervention, the biggest business impact comes from the ability to analyze vast amounts of data for better decision support.

Parsimonious funding

One more culprit is the continued lack of adequate investment. We found that technology spending on new digital projects remains only a small portion of the overall IT project budget. Many resources are still consumed by legacy systems and other modernization projects.
The good news is that most finance organizations anticipate an increase in funding dedicated to digital initiatives.

What does this mean?

As companies and finance organizations gain experience with digital experimentation, they realize they need to be more patient before they can see a positive impact. They also need to temper management expectations regarding the time it takes to complete a project and the degree of short-term influence on business performance. In some areas, we even see a slight retrenchment from earlier adoption intentions, as finance reevaluates the justification and specific utility of digital solutions. Yet overall, we also see how the growing experience of digital pioneers is helping others understand the potential and shift from experimentation to piloting and broader adoption.

Read original Article on
https://www.digitalistmag.com/finance/2018/12/13/why-finances-digital-transformation-has-not-fully-met-expectations-06194774


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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


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