The Maturing AI Hype Cycle
InformationWeek, May 8th, 2019

"Every new technology goes through a hype cycle in which the news coverage is strongly positive at first, often gushing with the possibility for life-altering transformation. Even though AI is not new, dating back to the 1950s and having already experienced hype cycles, the cycle during 2016-2018 has been notable for the sheer volume of news coverage..."

"2020 will be an essential year in AI-related business progression.

Speaking of Millennials and the next rising generation, what differentiates us from our predecessors is the inventions, humans have now created and further construction almost everything that we can touch in virtual. The only thing common between us, our predecessors and the next generation would be brain - that changed the demeanour of our communication and how we look at things. Artificial Intelligence, most commonly known as AI had been a prediction for decades but was initially associated with robots only..."

AI Is Being Held Back: Here's How To Fix It
InformationWeek, May 9th, 2019

"To liberate the full potential of machine learning as fast as possible, CIOs, CEOs, and society in general, must first get over fears of losing control.

By now we should know that machines tend to uplift our quality of life. Over the past 100 years or so, the unfolding of each new breakthrough technology -- from electricity to the automobile to the internet -- has brought trepidation, then ultimately acceptance. Despite these past experiences, our society seems to have a peculiarly strong resistance to the latest technologies that are radically transforming our lives: artificial intelligence (AI) and machine learning (ML)..."

Machine Learning Algorithms Explained
InfoWorld, May 9th, 2019

"Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I'd like to step back and explain both machine learning and deep learning in basic terms, discuss some of the most common machine learning algorithms, and explain how those algorithms relate to the other pieces of the puzzle of creating predictive models from historical data..."

"In this special guest feature, Claus Jepsen, Deputy CTO and Chief Technology Strategist at Unit4, discusses how the future of AI holds both promise and mystery. It is more important than ever to prepare yourself, your team, and your organization to develop a strategy to leverage artificial intelligence. At Unit4, Claus builds cloud-based, super-scalable solutions and brings innovative technologies such as AI, chatbots, and predictive analytics to ERP. He is a strong believer that having access to vast amounts of data allows us to construct better, non-intrusive and pervasive solutions to improve our experiences, relieve us from tedious chores, and allow us focus on what we as individuals really love doing..."

"Researchers have engineered flying robots that behave like hummingbirds, trained by machine learning algorithms based on various techniques the bird uses naturally every day...

Your friendly neighborhood hummingbirds. If drones had this combo, they would be able to maneuver better through collapsed buildings and other cluttered spaces to find trapped victims.

Purdue University researchers have engineered flying robots that behave like hummingbirds, trained by machine learning algorithms based on various techniques the bird uses naturally every day..."

"Retailer spending on artificial intelligence will reach $7.3 billion per year by 2022, according to Juniper Research. The battle to outmaneuver the competition with data will heat up as retailers hunt for ways to improve the consumer buying experience.

Sellers increasingly rely on the information provided by AI-powered demand forecasting. It's critical for preparing for key shopping holidays such as Black Friday..."

AI's 5 Biggest Risks: Early Implementers Speak
The Enterprisers Project, May 7th, 2019

"Leaders on the front lines implementing AI don't worry about robot overlords: They worry about real-world risks ranging from financial to ethical...

For years, people have held abstract fears about AI - from scores of lost jobs to out of control robots. But as AI has evolved and more companies experiment with the technology, the fears have also evolved - as risks become more apparent..."

"So far so good with AIOps, which applies artificial intelligence and machine learning to help unravel IT hairballs...

Artificial intelligence promises to enable machines or bots to take on the heavy-duty work of many parts of enterprises. Now, there are increasingly more initiatives, as well as vendor products, that will autonomously take on the heavy-duty work of information technology departments as well..."

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