Rising attention about generative AI prompts the question: Are we witnessing the birth of a new innovation platform? The answer seems to be yes, though it remains to be seen how pervasive this new technology will become. To have an innovation platform, there must be a foundational technology, such as a widely adopted personal computer or smartphone operating system, or the Internet and cloud-computing services with application programming interfaces (APIs) (see "The Cloud as an Innovation Platform for Software Development," Communications, October 2019). Third parties are then needed to access these APIs and start creating complementary products and services. More applications attract more users, which leads to more applications and then more users, and usually improvements in the foundational technology.

Cathie Wood and Ark Invest are bullish on the future of artificial intelligence. The high-profile innovation-focused investor highlighted the importance AI and the convergence of technology platforms in a "Big Ideas 2023" investor report. Wood and her team outlined that market participants should be looking at five converging innovation platforms that have the ability to "define this technological era." At the center is artificial intelligence, with robotics, multiomic sequencing, public blockchains and energy storage orbiting nearby. ARK believes that these technologies can together provide exponential growth into the future of the global economy.

How might artificial intelligence (AI) enablement help medical device manufacturers and health tech firms create a competitive advantage? By now, both medical device manufacturers and health tech firms are already infusing AI in their products, and they are accelerating product development to deliver better patient outcomes. But in doing so, they are encountering new challenges. One of them is this: they are struggling to improve AI models required to treat patients by leveraging connected health platforms integrating with the medical device ecosystem. We believe AI enablement can help solve this problem.

Fintech Europe, Plug and Play's fintech-focused innovation platform based out of Frankfurt, Germany, announced today the eight startups selected for its sixth batch. The platform has grown its partner base to 13 Financial Institutions since its inception in May 2018. Together with Deutsche Bank, TechQuartier, BNP Paribas, Nets Group, Nexi, UniCredit, Aareal Bank, Abanca, Danske Bank, DZ Bank, Elo, UBI Banca, and Raiffeisen Bank International, the program seeks to support innovation in the world of Financial Services. After screening applications from all over the world and intensive weeks of reviewing preselected startups with the partners, the final group of eight companies have been accepted into Fintech Europe. The program aims at facilitating pilots, POCs, and business development opportunities for the participating startups and financial institutions.

As 5G networks are rolled out globally, they will support exciting use cases ranging from mission-critical and industrial IoT applications to connected healthcare and smart city ecosystems. The progress across a wide range of industries now ready to use 5G is very exciting. This is an area where our industry-leading researchers have pioneered the work and innovated in cross-industry collaborations. As they imagined a 5G world, they needed to develop capabilities to meet the needs of all kinds of industries. Now much of what they imagined is becoming a reality.

The Personal Computer and the Internet have, without a doubt, revolutionized business in the last 25 years. For most of us, it's now impossible to think of the business world without all of the technology and the services built on top of these two innovations. Yet, what if these innovations are just teaser of what is to come in the next couple of decades? While it's certainly true that innovation isn't always a purely positive force, technological innovation has still been the biggest factor in driving long-term economic growth and improving the quality of life since the dawn of mankind. The agricultural and industrial revolutions, as well as the adoption of electricity have clearly been huge drivers of productivity for our society.

Recently, IndustryWeek hosted a PTC-sponsored webinar called Pragmatic Paths to Accelerate Manufacturing Performance with Industrie 4.0. The presenters, Kent Eriksson, a Senior Advisor in PTC's IoT Transformation Advisory Practice, and Stephen Laaper, a Digital Supply Networks leader in Deloitte Consulting's Strategy & Operations practice, had too much information about the best, most practical ways to adopt the Industrial Internet of Things (IIoT) didn't have time to answer every listeners' questions. It's such a vital component to the future of manufacturing success, one that there is much to learn about, that we all felt these questions could not linger. So here they are, and even if you couldn't attend, there is much to glean from these experts' responses. Q: Where should we draw distinctions between Industrie 4.0 and IoT, and Big Data and its connectors?

A key specification for exchanging sensor data between vehicles has found a new sponsor, in a move that may help future drivers avoid dangers before they see them. New vehicles are increasingly laden with sensors -- accelerometers, thermometers, radar and lidar (light detection and range) -- and the best of them can use the streams of incoming data to warn of or even avoid hazards such as ice or obstacles. But what if they could share information about changes to a road since the map was last updated or even warn one another of a stopped vehicle hidden by a blind curve? Vehicles might then be able to choose more efficient routes or avoid the need for sudden braking. That was the plan of digital mapping company Here when it published its specification for Sensoris (Sensor Ingestion Interface Specification) a year ago.

In this paper we present a review of the existing typologies of Internet service users. We zoom in on social networking services including blogs and crowdsourcing websites. Based on the results of the analysis of the considered typologies obtained by means of FCA we developed a new user typology of a certain class of Internet services, namely a collaboration innovation platform. Cluster analysis of data extracted from the collaboration platform Witology was used to divide more than 500 participants into six groups based on three activity indicators: idea generation, commenting, and evaluation (assigning marks) The obtained groups and their percentages appear to follow the "90 - 9 - 1" rule.