When (and if) if the Afeela electric car from Sony Honda Mobility goes on sale, it will use the Snapdragon Digital Chassis from Qualcomm -- an automotive technology platform that combines safety and connectivity systems, entertainment, customization, and upgradability all into one product. For automakers, finding the right technology partner means simplifying a vehicle's architecture and unlocking new revenue streams in the form of passenger entertainment and downloadable upgrades. The Qualcomm Snapdragon Digital Chassis is comprised of four automotive systems -- Snapdragon Auto Connectivity includes connected systems like 5G and vehicle-to-vehicle technologies, Snapdragon Cockpit Platform supplies the digital instrument clusters and infotainment controls, Snapdragon Car-to-Cloud makes over-the-air software updates possible, and the Snapdragon Ride Platform supplies driver assistance technologies and autonomous driving capability. "There is a tremendous amount of opportunity to reinvent the car," Nakul Duggal, Qualcomm's senior vice president and general manager for automotive, tells Wired. "And a tremendous amount of that reinvention is happening because the car is becoming a truly digital product."

Tesla has been in the financial news for a variety of reasons over the last few months. There was a Tesla stock split, the company announced a recall, and the CEO Elon Musk is a constant source of buzz, a substantive Kardashian of science capable of space travel. The celebrity CEO of Tesla, Elon Musk, enjoys putting on a show and garnering interest for the company. Unfortunately, the Tesla stock often feels the impact of Musk's actions. However, Tesla just made some announcements that could change the landscape of artificial intelligence forever.

For a long time, digitalization has been at the heart of the transformation of major utility companies, significantly contributing to the reshaping and reinventing of their business processes and business models. This is also because there is a growing urgency to adapt to the new'climate' ecosystem that is environmentally sustainable and economically efficient. As more utility companies continue to face unique challenges, digital transformation initiatives are now a must, considering the demands of changing customer expectations and market needs. Going by this Accenture report, 59% of utility company executives say that the pace of digital transformation for their organization is accelerating. This is likely to further gain momentum as more utilities companies begin to adopt renewable sources of energy.

The transformation from analog 1G to digital 2G made text messages a reality, and 3G enabled data services. As far as 4G is concerned, it made the mobile internet a practical reality. It has become a norm that faster speeds are given with a new mobile standard. Likewise, the shift to 5G will deliver superior performance and greater efficiency. These characteristics will make mobile networks reliable enough to support mission-critical systems and enable revolutionary bandwidth and latency-sensitive applications like Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR), the Industrial Internet of Things (IIoT), Intelligent Video Analytics (IVA), and, Artificial Intelligence (AI).

It was projected that by 2025 there would be 1.2 billion 5G connections, covering 34% population. Although the pandemic attempted to quell the hype surrounding 5G, it is still the most talked-about tech phenomenon of 2020. My Take -- 5G will open new doors for enterprises to service and innovate products and services, creating new revenue streams and customer segments. This article will discuss how 5G will transform certain industries and their business cases. According to a New England Journal of Medicine article, healthcare holds 30% of all world's data.

In today's tumultuous business-scape amid increasingly intricate, and often vexing, marketplace conditions, curating and mining data to drive analytics-based decision-making is no longer enough. For competing with maximum, sustained impact and mitigated opportunity loss, it's rapidly monetizing data that's now the name of the game--particularly when spurred by artificial intelligence (AI). Indeed, emerging AI methodologies are helping forward-thinking companies achieve and sustain true agility, fuel growth, and compete far more aggressively than ever before. AI is critical as a means toward those ends and also certainly with respect to aptly predicting, preparing, and responding to prospective crises as with the COVID-19 pandemic the globe is currently immersed in. In fact, Gartner recently cited the need for "smarter, faster, more responsible AI" as its No. 1 trend that data and analytics leaders should focus on--particularly those looking to "make essential investments to prepare for a post-pandemic reset."

In today's tumultuous business-scape amid increasingly intricate, and often vexing, marketplace conditions, curating and mining data to drive analytics-based decision making is just no longer enough. For competing with maximum, sustained impact and mitigated opportunity loss, it's rapidly monetizing data that's now the name of the game--particularly when spurred by artificial intelligence (AI). Indeed, emerging AI methodologies are helping forward-thinking companies achieve and sustain true agility, fuel growth and compete far more aggressively than ever before. AI is critical as a means toward those ends and also certainly with respect to aptly predicting, preparing and responding to prospective crises as with the COVID-19 pandemic the globe is currently immersed in. In fact, Gartner recently cited the need for "smarter, faster, more responsible AI" as its No. 1 top trend that data and analytics leaders should focus on--particularly those looking to "make essential investments to prepare for a post-pandemic reset."

Thanks to the Internet of Things (IoT), artificial intelligence (AI), and advances in sensor technology, a whole host of everyday products are getting smarter. We have smart TVs and smartwatches. We have smart running shoes – or rather, smart insoles – that gather data on your running performance. You can even get smart nappies that send an alert to your phone when your baby's nappy needs changing. For product manufacturers, there's no doubt we've reached a tipping point in the smart product trend, meaning it's no longer possible (or wise) to ignore consumer demand for smart, AI-loaded products.

This is a preview of a research report from Business Insider Intelligence. To learn more about Business Insider Intelligence, click here. Current subscribers can log in and read the report here. New technology is disrupting legacy automakers' business models and dampening consumer demand for purchasing vehicles. Tech-mediated models of transportation - like ride-hailing, for instance - are presenting would-be car owners with alternatives to purchasing vehicles.

Across industries and in nearly every vertical, AI is driving digital transformation. In sales, for example, 70% of US-based professionals are now using some form of AI at work. In marketing, platforms like Acoustic, Salesforce Commerce Cloud, and Pega's Unified DMP are bringing brands closer than ever before to their customers. Project scheduling optimizers for engineering, telecommunications AI that recognize early signs of churn, and personalized gaming experiences based on in-game data are just a few of the ways AI is disrupting major industries today. AI is no longer the exclusive domain of massive enterprise with equally outsized R&D budgets, either.