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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

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How The Artificial Intelligent Helps in Improving the Customer Experience?

by hickz11 month ago

Companies tend to lose $1.6 trillion in business as the customer switches to another product due to poor customer service. By 2020, the major focus of some of the leading companies will only be to provide a better experience to their clients.

In 2010, 24% of the Americans had posted online product reviews so currently, the number will be quite high as compared to this ancient statistic. 

Here are a few ways in which companies can use AI for better customer relationship management and to eliminate fake reviews from the web altogether.

Relying on Customer Relationship Management (CRM) Database

A number of organizations are faced with the challenge of extracting meaningful insights from the customers’ data. Most of the time, these organizations don’t even share data among different departments which causes disparity and lack of efficiency in their workflow. The employees need to collaborate for a powerful customer experience and for this, they need to work in uniformity.

This becomes

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Blockchain & AI: Do they go hand-in-hand?

Blockchain with AI

John McCarthy, father of Artificial Intelligence defined Artificial Intelligence as, “The science and engineering of making intelligent machines, especially intelligent computer programs”. We all have probably heard about world chess champions losing to a computer system or AI-powered washing machine or self-driving cars. These are some examples which are powered by artificial intelligence. Artificial intelligence is nothing but creating systems capable of executing tasks that seem to require acumen. Blending blockchain and artificial intelligence together can actually do wonders.

For a machine to master, it needs a large amount of data to analyze. This process is similar to humans. We analyze data passively by using our five senses. According to Trent McConaghy, he stated in his article three characteristics introduced by blockchain which are as follows:

  • Decentralized/shared control
  • Immutable/audit trails
  • Native assets/exchanges

As we all are familiar with machines, we kn

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AI IN HEALTHCARE CASES AND CHALLENGES

by SigmaSoftware1 month ago

Healthcare software with AI case study

Visiting a doctor typically involves spending hours in a waiting room, explaining intimate details of their weakness, getting an intricate diagnosis, or worse not getting one at all. A way to avoid these inconveniences looming large on the horizon is well depicted in science fiction literature and movies – medical artificial intelligence systems.

HISTORY OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE

First attempts to put AI to service in healthcare date back to 1970s. Many aspiring projects were launched then: the Fifth Generation Computer projectin Japan, T. Shortliffe’s MYCIN programfor medical diagnosis and therapy, the Cyc projectin the USA in the 1980s, and others.

Pamela McCorduck described this flourishing of AI in her book Machines Who Thinkoriginally published in 1979:

“…medical-diagnosis programs at Rutgers, Stanford, the University of Pittsburgh, and elsewhere, which specialize in internal medicine, bacterial infections, pulmonary-funct

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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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