5 ways to build a smarter enterprise
Enterprises often struggle with change because the barriers appear too high, but a series of small changes can deliver exponential results.
Enterprises often struggle with change because the barriers appear too high, but a series of small changes can deliver exponential results.
OtterTune adjusts control parameters that govern how a database schedules some of its maintenance tasks in order to optimize performance.
Startups and midsize companies can be lightyears ahead of competitors by taking a “data safe” approach from the start.
SPONSORED JOBS: If you’ve been reading rumblings about great reshuffles and even greater resignations in the workplace, they’re definitely happening — 43% of workers are looking to change jobs this year. A recent Accenture study found that following the pandemic, many workers have realized that with the right resources, they can be productive anywhere. Often they find […]
With a 1P tag manager, instead of giving your valuable customer data to others, you handle the data yourself.
From digital twins that provide insights into current performance to advanced simulation intelligence that evaluates future scenarios, organizations in nearly every industry are taking advantage of the evolution of AI simulation to speed up operations, reduce risk and boost better decision-making.
Kintent is an all-in-one revenue-accelerating compliance platform. The company automates security compliance audit preparation, using NLP and machine learning to auto-suggest answers to security and compliance questionnaires.
Greymatter.io has gathered significant interest from investors because it delivers a microservices-friendly, infrastructure management solution that IT teams can use to build application and API networks.
The new solution will enable developers and enterprises to start using MongoDB Atlas on Google Cloud without any upfront costs.
Lilt is staking its claim in the $23.8 billion global language services and technology industry. The company offers translation technology and services through a human-in-the-loop AI approach. This branch of AI creates machine learning (ML) models from both human and machine intelligence.
AI is emerging as a tool to help enterprises reduce their data storage needs, whether in the cloud or a private data center.
RevOps uses real-time buyer/seller engagement signals to take a data-based approach to sales enablement and execution.
There’s unique value in a built-from-scratch, column-aware product like metadata in the data transformations market.
Three of the most important points to think about are latency and performance, capacity management, and, of course, cost.
Google wants its to offer the control of the best data warehouses with the seemingly endless availability of cloud storage.
Customers want hyper-personalization: information that’s relevant and customized for their unique, rapidly changing needs.