Artificial intelligence platforms

It's important to be aware of what's available in the artificial intelligence platform market, whether you've only just begun to evaluate AI platforms or have already invested in AI tools such as machine learning. Find valuable insights into how to make enterprise AI software and device decisions and how to integrate those AI tools into your existing IT infrastructure.

August 24, 2022 24 Aug'22
New funding for Anyscale boosts popular Ray AI platform

The startup raised $99 million and released a new version of its open source framework, which helps enterprises scale AI workloads and projects with available resources.
August 17, 2022 17 Aug'22
A hyper-personalized AI platform for community finance

Using the vendor's Cortex AI platform, DeepTarget created a digital experience platform that community finance institutions can use to predict what consumers will buy.
August 11, 2022 11 Aug'22
Lessons enterprises can learn from Meta BlenderBot 3

The tech giant's AI chatbot raises concerns on how enterprises can train natural language generative systems without creating controversial and damaging products.
August 09, 2022 09 Aug'22
Nvidia targets metaverse with new Omniverse Avatar Engine

The vendor's new cloud engine will help organizations easily build avatars and digital assistants. Nvidia also revealed plans to evolve USD with partners such as Pixar.

Bring yourself up to speed with our introductory content

conversational AI

Conversational AI is a type of artificial intelligence that enables consumers to interact with computer applications the way they would with other humans. Continue Reading
The expanding universe of enterprise accounting software

Enterprises of all sizes are finding today's accounting software accurately and reliably automates payables and receivables, while AI derives intelligence from numbers. Continue Reading
9 top business process modeling techniques with examples

Business process modeling techniques and tools provide a visual representation critical to monitoring, improving and streamlining the flow of tasks along numerous processes. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

How businesses can benefit from conversational AI applications

Conversational AI tools have traditionally been limited in scope, but as they become more humanlike, businesses have realized their potential and applied them to more use cases. Continue Reading
Marketing hype fuels AI predictive network troubleshooting

Vendors are pushing heavily on the benefits of predictive analysis to automatically identify and remediate network issues. But should enterprise customers care? Continue Reading
6 top business process management benefits, advantages

Streamlined workflows, greater agility and scalability, tighter process controls, reduced risks, lower costs and better customer engagements are among the notable BPM benefits. Continue Reading

Learn to apply best practices and optimize your operations.

RPA vs. BPM: How are they different?

Don't confuse RPA with BPM. These process-oriented initiatives are distinctly different yet highly complementary when planning, automating and improving key business operations. Continue Reading
Enterprise hybrid AI use is poised to grow

Hybrid AI is an approach for businesses that combines human insight with machine learning and deep learning networks. Despite certain challenges, experts believe it shows promise. Continue Reading
Automated machine learning improves project efficiency

Until recently, machine learning projects had a small chance of success given the amount of time they require. Automated machine learning software speeds up the process. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

7 business process management challenges and how to fix them

On the road to a successful BPM initiative, missing C-level support, unclear goals, cultural change and poor testing environments are among the roadblocks that can be overcome. Continue Reading
Expanding explainable AI examples key for the industry

Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
Combating racial bias in AI

By employing a diverse team to work on AI models, using large, diverse training sets, and keeping a sharp eye out, enterprises can root out bias in their AI models. Continue Reading