TEL AVIV, Israel--Using data from the analytics tool Buzzsumo, Walkme.com has compiled a list of the most discussed technologies online in 2021, with artificial intelligence topping the list with 175,837 online articles. The closely related topic of machine learning was second, with 103,508 articles posted online between January of 2021 and November of 2021. The buzz around AI was so high that the 11 month total amounted to about 526 articles a day. Technologies offering new realities also ranked high, with virtual reality holding the third spot (64,509 articles) followed by augmented reality (34,632 articles) in fourth place. "With the pervasiveness of AI, it's no wonder it's one of the most discussed technologies today," said Rafael Sweary, president and co-founder of Walkme.com in a statement.

Pekka Koskinen is the CEO & Founder of Leadfeeder, a lead generation software. Starting in 2002, I've founded five software companies and made three exits to date. Along the way, I've witnessed tectonic levels of change since launching my first company. In the fast-paced world of software as a service (SaaS), the pool of competition has continued to evolve, and alongside it, so have buyer expectations. As pointed out by a SaaS economics study from Price Intelligently, SaaS companies "that started five years ago faced an average of 2.6 competitors in their first year of business. Those founded a year ago were up against 9.7."

WalkMe, a CA-based digital adoption platform, secured $90 million in the funding round. Vitruvian Partners led the latest funding round while Insight Partners also noted their participation. Founded in 2011, CA-based, WalkMe offers a digital adoption platform. The platform is powered by Machine Learning, Artificial Intelligence, automation, and analytics capabilities. To date, the company has raised a total of $307.9

Israeli website navigation and digital adaptation platform company WalkMe today announced that it has acquired Israeli startup DeepUI, a company in stealth mode that has developed a patented machine learning technology to understand any business software at the graphical user interface (GUI) level, without the need for an application programming interface (API). No financial details were disclosed. The company has 600 employees with over 300 in Israel. DeepUI is WalkMe's third acquisition since the company was founded in 2011. WalkMe acquired native mobile AI startup Abbi in January 2017, and visual analytics startup Jaco in April 2017.

I recently caught up with Kobi Stok, Vice President, Product at WalkMe, to give an insiders view for how his company is using AI to predict how/when you're using a mobile app, and how companies can use this info to push customized campaigns to prevent someone from leaving the app. Kobi is VP, Product at WalkMe, a leading digital adoption platform that simplifies user experiences and drives action using insight, engagement and guidance capabilities. Prior to joining WalkMe he was the Cofounder and CTO of Abbi.io, an award-winning technology that learns and understand user usage behavior. A serial entrepreneur, Kobi has over a decade's experience in building mobile and web-based software from design to customer deployment. Can you provide a high-level overview of how AI is being used?

WalkMe, the leading digital adoption platform and one of the fastest growing software companies globally, today announced that it has launched WalkMe Artificial Intelligence (AI) Predictive Analytics, an enterprise-grade solution that can understand users' behaviors while they're using a system, and predict their next actions in order to drive greater user engagement and adoption. Using its proprietary WalkMe UX product sensor technology, WalkMe collects hundreds of data points per second in real-time, including non-personally identifiable information such as browser type, timestamps, and insights into a user's interaction within the system. On mobile applications, WalkMe's technology can also identify the physical state of the person using the app - such as whether they are standing, sitting or on-the-go. Based on the likelihood that a user will churn, organizations can then create targeted campaigns - such as offering step-by-step guidance to navigate within the system or an in-app notification for a sales promotion - to boost customer engagement and adoption. Built for business users, WalkMe requires no technical knowledge or R&D effort to create and implement campaigns.

WalkMe Ltd., maker of a platform for understanding and improving user experience, has added predictive analytics capabilities to its intelligent assistant technology that interprets user behavior to predict next actions and provide context-sensitive responses. The company primarily targets its technology at e-commerce scenarios in which abandonment is a common problem, as well as at internal uses such as helping employees fill out forms or complete online training courses. "We saw that most users don't ask for help, so our engagement engine understands their problems and gives guidance automatically," said Rephael Sweary, WalkMe's co-founder and president. WalkMe AI Predictive Analytics works with any enterprise software or mobile application to observe user interactions and determine the statistical likelihood that a person will abandon a process because of confusion or complexity. The software collects hundreds of data points per second in real-time, including information that isn't personally identifiable such as browser type and time of day.