Search results for: 'Something!'

In the universe of safety and protection, the concept of smart personal protective equipment (PPE) is an exciting opportunity that has the potential, in time, to reshape the future of PPE. However, companies have struggled to gain traction in the market. PPE is, often, thought of as a low-cost investment, and buyers struggle to understand the benef...

03 Jun 2021  |  Global  |  Market Research

Global Artificial Intelligence/Machine Learning Platforms Growth Opportunities

Demand for Disruptive Technologies and Intense Competition Create Future Growth Potential

Infographics

×

Companies across all industry verticals recognize the importance of customer satisfaction (hence, retention) and demand generation (be it new sales, upsells or cross-sells) for business growth. Feeding data into AI/ML platforms, then making sense of such data and creating models that explain or predict customer satisfaction or demand is at the co...

Business productivity practices have changed dramatically over the past several years. This is attributed to the move to a remote workforce and the accelerated digital transformation of enterprises. Communication is an essential component of business efficiency. Enterprise messaging integrates different types of virtual communication required for b...

Data strings from vehicles, machines, products, and facilities are generated to alert users of asset operating conditions. Data is created to notify users of asset location and condition and if something is about to go wrong. This data is churned out constantly, and organizations that acknowledge and find ways to monetize it can become market lea...

Secure access service edge (SASE) developers are employing AI to make their cloud zero trust architecture platforms better. This isn't news: Most of the bigger SASE vendors have experimented with integrating AI components into their platforms for five years or more. What is new is that their customers are now reaping the tangible benefits of those ...

Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big ...