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Achieving Industrial IoT success requires an approach that helps companies integrate the many technologies typically used in modern industrial applications.
In this week's real-time analytics news: Moderna and IBM team to use AI, blockchain, and cloud to get real-time insights for smart vaccine management, and more.
Businesses using AI solutions in sales and marketing must consider conversational AI solutions like Intelligent Virtual Assistants to be better positioned for long-term success.
Answer these questions to ensure that you can unlock the promised value of no- and low-code platforms.
Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.
This week’s Katana Graph funding news highlights the growing market interest in graph analytics.
Virtual collaboration and team building are essential to support the workforce management evolution companies are going through to cope with remote-first operations.
In this week's real-time analytics news: Three industry efforts aim to address the challenges of developing and deploying artificial intelligence apps, and more.
With the rise of more sophisticated fraud tactics, it’s become even more essential for businesses to find better ways to predict fraud risk.
COVID boosted the use of AI-based chatbots that detect human emotions. Researchers are developing other applications that use similar technology.
One of the best ways to increase acceptance and usage of smart city technologies is to emphasize how it removes friction from our life.
The major of digital transformations fail because they are not done wisely. Successful change runs deeper than just the adoption of new technologies.
Product teams must pay special attention to how the specific needs of their applications relate to the capabilities of the low-code platforms they select.
With the emergence of hybrid threats, Investigative Intelligence requires correlating new data with historical data and marrying real-time processing with AI technologies.
Businesses should regard AI cybersecurity predictions with a level of skepticism for some time to come due to the reliability uncertainty of such predictions.
FinServs can address latency issues by putting data closer to the application or customer. In this way, data is served faster.
NLU offers companies the power to improve quality management and to activate the best insights for a better overall customer experience.
The goal of pursuing small data is to create a truly human-like intelligent machine capable of learning the way children do when exploring the world for the first time.
Today’s banking customers expect real-time interactions and are used to getting an instant response when using applications or accessing services.