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Tag: machine learning

MLOps Startup Diveplane Raises $25M Series A

Diveplane, an MLOps startup based in Raleigh, N.C., has announced it raised $25 million in Series A funding. The company produces a suite of enterprise AI products that it says are designed around the principles of pr Read more…

Algolia Acquires Search.io to Enable Users to ‘Search As They Think’

Data search platform Algolia announced it has acquired San Francisco-based neural search startup Search.io. Algolia is known for its keyword-based search and discovery platform that processes trillions of queries from Read more…

Five Common AI/ML Project Mistakes

Companies of all sizes and across all verticals continue to embrace artificial intelligence (AI) and machine learning (ML) for myriad reasons. They’re eager to leverage AI for big data analytics to identify business tr Read more…

LinkedIn Donates Feature Store to Linux Foundation

LinkedIn today announced that its open source feature store, dubbed Feathr, is joining LF AI & Data, the Linux Foundation’s umbrella foundation for big data and AI projects. Feathr was originally developed at Li Read more…

How Providence Overcame Security Obstacles to Unlock Medical Data in the Cloud

Healthcare is one of the most data-rich industries, but thanks to strict privacy and security laws, data scientists haven’t been able to do much with it. But now, thanks to the confluence of a strong security setup in Read more…

Why DataOps-Centered Engineering is the Future of Data

DataOps will soon become integral to data engineering, influencing the future of data. Many organizations today still struggle to harness data and analytics to gain actionable insights. By centering DataOps in their proc Read more…

AI for DevOps: Cutting Cost, Reducing Risk, Speeding Delivery

Organizations collectively spend billions every month on DevOps processes, yet bad code still makes it into production, causing downtime, additional time/money, and reputational harm. With so much at stake, it would seem Read more…

Only 12% of AI Users Are Maximizing It, Accenture Says

A new study from Accenture says just 12% of firms have figured out how to deploy AI to “achieve superior growth and business transformation.” In other words, there’s quite a bit of work yet to be done when it comes Read more…

FeatureByte Raises $5.7M to Fix the Weakest Link in AI

FeatureByte, the developer of a feature engineering platform, has launched from stealth with a $5.7 million seed round. The Boston-based startup bills its SaaS solution as specifically made for data scientists to simplif Read more…

Esri Melds GIS with AI, Graph, and Analytics

Esri has long been the industry leader in geographic information systems (GIS), which are used by urban planners, building engineers, and landscape designers around the world. At its UC 2022 conference this week, the com Read more…

How Intuit Is Building AI, Analytics, and Streaming on One Lakehouse

With more than 100 million customers and revenues close to $10 billion, Intuit has enterprise-scale data processing needs, as well as enterprise-scale challenges. Faced with the prospect of building independent architect Read more…

How ML-Based Data Mastering Saves Millions for Clinical Trial Business

As the country’s largest provider of clinical trial services, WCG has a sizable impact on the route to market for many drugs and medical devices. But as a conglomeration of more than 30 previously separate companies, W Read more…

Why 2022 Can Be the Year Financial Services Providers Embrace Ethical AI

Nearly two years after a global pandemic sent most banking customers online, the majority of financial institutions appear to be embracing digital transformation. But many still have a long way to go. For example, a rece Read more…

A/B Test Like You’re Airbnb

A/B testing is a critical and oft-overlooked element of data science at high-flying tech firms like Google, Netflix, and Uber, but it can be difficult to set up a testing infrastructure. Now you can implement A/B testing Read more…

The Mystery of Predictions in AIOps

The main promise of AIOps (Artificial Intelligence for IT Operations) is to predict issues that could be major incidents and resolve it before it happens with Machine Learning and AI algorithms. How can such predictions Read more…

Splunk Shows Off Automated Anomaly Detection and More at .Conf22

Splunk kicked off its .conf22 user conference today by unveiling a host of updates to its core platform, including a demonstration of an automated anomaly detection system based on machine learning of time-series data an Read more…

Artificial Intelligence and Machine Learning Are Headed for A Major Bottleneck — Here’s How We Solve It

Artificial intelligence (AI) and machine learning (ML) are already changing the world – but the innovations we're seeing so far are just a taste of what's around the corner. We are on the precipice of a revolution that Read more…

Gretel Keeps the Data Trail Hidden

When Alex Watson co-founded the security company Harvest.ai back in 2014, using machine learning to identify sensitive data to protect it seemed like a good idea--so good, in fact, that AWS bought the company. Fast forwa Read more…

TigerGraph Unveils ML Workbench, Winners of Its ‘Graph For All Million Dollar Challenge’

Graph analytics platform TigerGraph has just released its new TigerGraph ML Workbench, a Jupyter-based Python development framework. TigerGraph says this machine learning toolkit “enables data scientists to signific Read more…

Galileo Emerges from Stealth with Collaborative MLOps Platform

There’s a new player in the hot MLOps market: Galileo. Founded by Google and Uber AI alumni, the company emerged from stealth this week with $5.1 million in seed funding. Galileo is an intelligence platform for unst Read more…

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