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Disruption viewed through the lens of Darwinism

Innovation is the key word when it comes to survival of the fittest, and this is precisely what gives businesses like Tesla the edge and keeps them relevant. Businesses should make technology their core competence, and be prepared to let their superior products cannibalize their predecessors. Strategy has to be dynamic with the changing environment, aligned with reality and constantly updated by connecting the dots back from what’s happening in the market, rather than being sacrosanct and etched in gold. 

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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.

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.

Aloha Technology.

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

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Robotic Process Automation: A Gateway Drug to AI and Digital Transformation

Robotic process automation (RPA)—typically used to automate structured, back office digital process tasks—turns out to be the opening gambit in many organizations’ digital transformation strategies. It also appears to be a precursor to artificial intelligence (AI). In a recent research project on priorities in process and performance management, APQC, a business research institute, found that RPA was a nucleus of 69 percent of digital strategies. In another survey on investments in process automation, anticipated RPA projects were right behind analytics and data management, and almost twice as likely as near-term investments in AI or intelligent automation. Only 12 percent of those APQC surveyed had no plans to invest in any of these technologies in 2018.

APQC also found that the number of RPA projects per organization doubled from 2017 to 2018. The average number of projects per organization was 8.6 in 2017 rising to 14.9 in 2018.

In a separate project, one of the authors (Davenport

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AI in customer service

AI in customer service

When hearing ‘AI for Customer Service’ most would immediately think this is going to be ‘yet another article about chatbots’. No wonder.

Chatbots have been one of the hottest topics recently. However, our experience shows that AI can be applied to many other areas of Customer Service business as well. And those possess even more potential to boost your business.

AI AND MACHINE LEARNING IN CUSTOMER SERVICE – THE QUESTION IS ALREADY HOW, NOT WHETHER

Artificial Intelligence and Machine Learning have been among the most discussed topics lately.

Even though the degree of enthusiasm differs, most experts agree that ML and AI are going to influence modern business landscape and trigger business transformations in almost every industry.

55% of established companies either have started making investments in the potential of artificial intelligence or are planning to do so by 2020. – Gartner.

AI technologies are projected to increase business productivity by average

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Concerns Related to the Cost of Integrating AI

While a major benefit of using AI in business is the ability of the technology to automate a host of mundane tasks, a major drawback of the same is the cost of integrating AI technology. As compared to standard apps which have the best of latest features, a mobile app with AI is comparatively costlier.

Not only this, companies would also have to implement upgrades on a frequent basis to keep up with the changing policies, business requirements, and trends. This will further increase the cost of having a mobile app.

Apart from the cost, the time spent on developing an AI app is an important concern too. A mobile app development company is required to put in way more efforts when building an AI app as compared to a non-AI app. With the hyper-competition that is spread across every business sector, time is everything. A business cannot wait for several months just to launch their mobile app.

Read More-->https://www.minds.com/HokuApps1/blog/5-challenges-in-implementing-ai-in-mobile-apps

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Big Data and Robotics

The last few months have witnessed a rise in the attention given to Artificial Intelligence (AI) and robotics. The fact is that robots have already become a part of the society; in fact, it is now an integral part. Talking about big data, it is definitely a buzz word today. The future of AI has been transformed considerably after it has been clubbed with new developments in the technological world like big data.

Enterprises worldwide generate huge amount of data. The data doesn’t have a specified format. It could be both structured and unstructured. Years back the data generated used to get wasted as there was no analytics performed on it. But now with the advent of big data, data is processed and analysis is performed on most of the data that is generated. Analysts make sure they are able to derive meaningful patterns, trends, and associations that simplify business decisions.

Big data is such a big deal these days that even small and mid-scale companies after looking at all the big

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5 Myths About Artificial Intelligence

Artificial Intelligence

Very few subjects in science and technology are causing as much excitement right now as artificial intelligence (AI). In a lot of cases this is good reason, as some of the world’s brightest minds have said that it’s potential to revolutionize all aspects of our lives is unprecedented.

On the other hand, as with anything new, there are certainly snake-oil salesmen looking to make a quick buck on the basis of promises which can’t (yet) be truly met. And there are others, often with vested interests, with plenty of motive for spreading fear and distrust.

So here is a run-through of some basic misconceptions, and frequently peddled mistruths, which often come up when the subject is discussed, as well as reasons why you shouldn’t necessarily buy into them.

Read more at:  https://www.forbes.com/sites/bernardmarr/2017/10/03/5-myths-about-artificial-intelligence-ai-you-must-stop-believing/#1caf4c012739

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