Chris Preimesberger

TIBCO claims its ModelOps enables businesses to deploy AI models faster and at scale to keep up with the pace of their sales activity.

Given the need to deliver high-performance computing for Web3 development, minimizing its environmental impact is essential to future success.

Because of their size, hyperscale data centers offer advantages of economies of scale and custom engineering over enterprise data centers. Modular data center design offers flexibility by letting customers start smaller and increase in size based on need. This article looks at how those advantages impact sustainability models.

Explainable AI is important for trust, compliance and building less-biased AI models. Both customers and regulators want to know more about what’s inside the black box. Most monitoring tools leave blind spots, alerting data analysts to problems but not their causes.

Using KNIME, Snowflake customers can now use all the data stored in a node to create predictive ML models in a low-code/no-code environment.

TigerGraph’s ML Workbench should enable data scientists to build deep-learning AI models using connected data directly from the business.

Companies that embrace digital twins have achieved cost savings, quicker turnaround, faster regression tests and more effective planning.

Ayar Labs and Nvidia are co-developing an AI processor infrastructure based on optical I/O technology for AI and high-performance computing.

Switchboard enables companies that rely on no-code and low-code tools to identify potential errors before they can wreak havoc.

Forma’s automated workflows unite the process, enabling sales compensation resources to focus on incentive design — not formula building.

Wisq is similar in operation and appearance to business-only internal networks such as Slack, Teams or Asana, but it stands apart because it provides a different, much more personal environment for team members at a company.

The integration of BrainChip’s Akida technology and SiFive’s multi-core capable RISC-V processors is expected to provide an efficient solution for integrated edge AI computing.

RevOps uses real-time buyer/seller engagement signals to take a data-based approach to sales enablement and execution.

Dataminr’s AI platform discovers, distills, and delivers alerts from social media, blogs, information sensors and the dark web, ensuring that businesses have the backstory knowledge they need to make key decisions.