The first big investment wave in tech was the personal computer. Then came software, the internet, smartphones, social media and cloud computing. The next big thing is artificial intelligence, or AI, professional stock pickers say. AI is the science-fiction-like technology in which computers are programmed to think and perform the tasks ordinarily done by humans. The size of the global AI market is expected to grow to $202.6 billion by 2026, up from $20.7 billion in 2018, according to Fortune Business Insights.

Providing your client with insights, briefly defined as short texts of analytically processed information, is a valuable addition to the services provided by virtually any company. Unfortunately, as engineers, or technicians in general, our training does not address in detail the techniques for writing insights. This short text seeks to serve as a basic guide for future analysts. I introduce the concept of insight and provide advice for the creation of concise and short intelligence pieces. As a senior data analyst, I must do precisely what Ray Dalio, finance magnate, mentions in his December 2019 conversation with Lex Fridman in his podcast "Artificial Intelligence" when asked what role machine learning will play in making decisions and in the analysis: TSC.ai (where I work as a Senior Data Analyst) is a technology company that uses articial intelligence to provide, precisely, intelligence to our customers.

AI and privacy needn't be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing. It's a timely breakthrough: Data from ML is doubling yearly. At the same time, concern about related data privacy and security is growing among industry, professionals and the public. "It doesn't have to be a zero-sum game," says Casimir Wierzynski, senior director, office of the CTO, AI Products Group at Intel.

I often use this quote from Isaac Newton in my teaching. AI is a vast and a complex subject. No matter how much you know - you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.

Artificial Intelligence is already impacting Manufacturing, Retail, Marketing, Healthcare, Food industries and more. Today we will take an in-depth look at another industry, that with proper AI expertise from development companies could be disrupted. Transportation is an industry that helps humanity with moving people their belongings from one location to the other. While doing that, this industry had experienced countless twists, turns, breakthroughs, and setbacks to get to the place where it is now. The year 1787 was the defining one for this industry because steamboat was introduced and changed everything.

Truly "autonomous" systems are starting to replace or augment many of the routine tasks and processes people perform every day, improving efficiency while freeing individuals for higher-level pursuits. But what's often overlooked is how much progress is happening in other areas and industries: healthcare, air travel, energy provision, retail, logistics, agriculture, and construction. Autonomous systems are even helping governments match refugees with the most suitable communities to live, as detailed in one of the four real-world vignettes we present below. Such optimism makes sense, given advances such as self-managing and self-patching databases in IT. But our survey's other findings might underestimate the pace of change: Just 24% say they expect to see significant use of autonomous tech in construction, for example, even though self-driving bulldozers already are in use on select projects.

AI is seen as a possible silver bullet for medicine and healthcare. But can AI truly transform these realms? The answer is no in the short term, but very likely in the long term. Right now billions of dollars are being invested in AI research for medicine, medically oriented human biology, and health care. It is not surprising why upon the waves of myriads of sensational headlines from media outlets, we are becoming more and more intrigued about what results it can bring.

Precision oncology firm Notable Labs is launching its first self-sponsored clinical trial, designed from the ground up to help validate its cancer patient matching platform over the long term. The observational study--which also represents the company's largest trial to date--aims to enroll up to 1,000 participants with a variety of blood cancers and will follow them for at least one year as they receive physician-led standard-of-care therapies at different sites across the U.S. and Canada. Separately, Notable's phenotypic and artificial intelligence-powered platform will be tested against multiple patient samples collected over time to provide a longitudinal view of its predictive value based on cancer mutations, drug responses and the outcomes of each participant. It will also search for patterns useful in the development of new treatments. The company combines AI approaches with automated lab processes to determine which drugs or combinations will be most effective for specific cancers.

Nearly half of UAE residents are likely to own a self-driving car in the next five years if it are available to them, according to a new survey. The poll by YouGov also showed that close to a quarter (23 percent) are unlikely to do so and an equal proportion is unsure. It said men are more inclined to own an autonomous car in the future than women, with 53 percent of males expressing interest compared to 42 percent of females respondents. Among the various age-groups, people in their thirties (52 percent) are more likely than those under 30 (47 percent) and those aged 40 and above (48 percent) to possess one. When it comes to safety, YouGov's research showed that 43 percent feel driverless cars are safer than human-driven cars, 27 percent think they are less safe while 17 percent say they are just about the same.

Neon, the artificial human prototype conceptualized by computer scientist and inventor Pranav Mistry, created waves recently. The President and CEO of Samsung's STAR Labs told ET in an exclusive interview that he created Neon because human beings are unable to connect with artificial intelligence (AI) assistants such as Apple's Siri. The Palanpur (Gujarat)-born Mistry, considered one of the best innovative minds in the world right now, said Neon will be a companion to the elderly and to those who are lonely and could even work as fashion models or news anchors. The 38-year-old also spoke about the dangers posed by AI,echoing Google parent Alphabet Inc's chief Sundar Pichai who recently called upon governments to regulate AI. Edited Excerpts: When you started thinking about Neon, what was the problem you were trying to solve?