
Tag: data science
Don’t look now, but feature stores–systems for developing, maintaining, and monitoring the data features used by machine learning algorithms for training and inference–are popping up all around us. Amazon Web Services rolled out a feature store last month, and Splice Machine unveiled its offering today, and more are expected to join the race. Read more…
Open source versions of feature stores are emerging that are designed help data scientists avoid reinventing the wheel. One feature store startup is attracting investors by adding a computing layer billed as helping to accelerate enterprise access to AI and advanced analytics. Read more…
Despite greater spending on staffing and use cases, investors in machine learning have so far reaped few returns as they struggle with life cycle issues related to data governance, security and auditing requirements. Read more…
Organizations that are using Amazon SageMaker to build machine learning models got a few new features to play with Tuesday, including options for data preparation, building ML pipelines, and a feature store. Read more…
Data science used to be somewhat of a mystery, more of a dark art than a repeatable, scientific process. Companies basically entrusted powerful priests called data scientists to build magical algorithms that used data to make predictions, usually to boost profits or improve customer happiness. Read more…
Harbr, a London startup that helps organizations like Moody’s Analytics to create their own custom data exchanges, yesterday announced that it has completed a Series A round of financing, netting $38.5 million for the growing concern. Read more…
Customers running atop Snowflake’s cloud data warehouse soon will find new functionality, including the ability to build ETL data pipelines in Python, as well as the ability to expose pre-built analytic routines as data services. Read more…
This year, for the first time since 2016, data scientist is not the number one job in America, according to Glassdoor’s annual ranking. While the shine may be wearing off the unicorn a bit, data science is still a great field to go into, expert tells us, with abundant opportunities, competitive pay, and a job satisfaction that is tough to beat. Read more…
It seems almost preordained at this point: Thou Shalt Run Thy Data Science Environment On a Cloud-Native Kubernetes Platform. This is 2020, after all. How else could it possibly run? Read more…