DataRobot
JANUARY 13, 2022
It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience. DataRobot combines traditional data science approaches and the best in emerging machine learning. DataRobot is just such a platform.
TechCrunch
OCTOBER 1, 2021
Besides traditional VC, crowdfunding, venture banks and venture debt funds are all viable options. Think of capital availability as a spectrum, from low risk and low return (venture banks) to high risk and high return (venture capital), with venture debt funds sitting somewhere in the middle,” advises Weyer.
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Cloudera
AUGUST 28, 2018
From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. BUSINESS IMPACT. Grow Your Business. Enterprise Machine Learning.
Apiumhub
FEBRUARY 25, 2021
Machine Learning. Machine learning is the backbone of data science. Using machine learning, predictive analytics and data science, self-driving cars can adjust to speed limits, avoid dangerous lane changes and even take passengers on the quickest route. . Scoring and ranking (e.g., FICO score). Healthcare.
Cloudera
SEPTEMBER 12, 2018
The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact.
TIBCO - Connected Intelligence
DECEMBER 22, 2020
Whether it’s an analyst doing reports or a data scientist applying machine learning methods to the data, they’re usually viewing it in aggregate from a traditional database, and typically don’t get to interact with it in its natural and most useful form—real-time.
CIO
JUNE 26, 2023
Between the host of regulations introduced in the wake of the 2009 subprime mortgage crisis, the emergence of thousands of fintech startups, and shifting consumer preferences for digital payments banking, financial services companies have had plenty of change to contend with over the past decade. But there’s an opportunity in this shift.
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