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Tag: data scientist

Building Your GenAI Dream Team

So the decision has been made to upgrade your business using generative AI technology. Great! But now comes the hard part: Figuring out how to transform that aspiration into action, and it all starts with people. The Read more…

Hiring GenAI Talent: It’s a Matter of Degree

Companies are scrambling to hire people to build generative AI solutions in 2024, as the GenAI hype rocket roars into the stratosphere. But the hiring is hampered by several factors, including the types of GenAI apps com Read more…

GenAI Is Making Data Science More Accessible, Dataiku Says

Large language models and generative AI are being adopted for all kinds of new and interesting use cases, which we explore daily in these pages. One of the less visible use cases is widening the pool of users who can tap Read more…

AI Democratization a Work in Progress, H2O’s Ambati Says

While only about 1% of companies are making the most of their data today, real progress is being made in democratizing the use of AI, and the future of business automation via AI is quite bright, H2O.ai’s CEO and found Read more…

The Future of BI Is AI, Says Qlik CEO Capone

The future of business intelligence will be defined by how well AI and data science capabilities can be integrated into traditional analytic and decision-support tools that can impact the business at the speed of data ge Read more…

The Limits of Citizen Data Scientists

Just as computer processing power increase over time, we’ve come to expect that technology will successfully automate more complicated tasks every year. This is true in some digital domains, but this linear form of thi Read more…

How to Stop Failing at Data

Innovate or die. It’s one of the few universal rules of business, and it’s one of the main reasons we continue to invest so heavily in data. Only through data can we get the key insights we need to innovate faster, s Read more…

Battle for Data Pros Heats Up as Burnout Builds

“Tell me about your motherboard.” This bit of grim psychological humor accompanied a rather gruesome statistic in a recent data engineering survey, which found 78% of data engineers say they wished their jobs came wi Read more…

Investment in Machine Learning Keeps Growing, DataRobot Finds

After years of double-digit growth in machine learning investments, nearly 90% of companies grew their machine learning budgets again from 2020 to 2021, according to a survey from DataRobot, which also documented the top Read more…

HPE Adds Lakehouse to GreenLake, Targets Databricks

Imitation may be the sincerest form of flattery. But if you’re Databricks, you might not be too flattered by HPE, which today announced Ezmeral Unified Analytics, a new lakehouse offering based on Spark and Databricks� Read more…

AI: It’s Not Just For the Big FAANG Dogs Anymore

It’s been said that AI has a 1% problem, that only the biggest tech firms—the Facebooks, Amazons, Apples, Netflixes, and Googles, or FAANGs, of the world--have the resources required to pull it off.  But thanks to t Read more…

Data Pros Are Maxed Out: Survey

The demands of the data-driven life are wearing on data professionals, according to survey results unveiled this week by data pipeline automation solution developer Ascend.io, which found that 96% of data professionals a Read more…

In Search of Data Science Talent with Dr. Kirk Borne

We have gobs of data, nearly limitless cloud compute, and ever-improving machine learning algorithms, so what on earth is holding companies back from succeeding with big data? “Talent, talent, talent,” says Dr. Kirk Read more…

Data Salaries Get a COVID Bump

Data science and application development skills centered on AI, machine learning and cloud deployments remain in high demand, pushing salaries higher in a pandemic year that strained enterprise infrastructure. Accordi Read more…

The Maturation of Data Science

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 Read more…

Do You Need a Chief Data Scientist?

Data scientists are modern-day wizards who can turn digital coal into virtual diamonds. But data scientists are unique individuals with special talents, and organizations risk squandering those gifts if data scientists a Read more…

Data.world Aims to Rethink Data Catalogs

What is a data catalog? If you answered that it’s simply an index that tells you where to find data, then Brett Hurt would like a word with you. As the co-founder and CEO of data.world, Hurt is looking to redefine what Read more…

Finding and Managing Super Analysts for the Fourth Industrial Revolution

Super analysts are unique combinations of individuals who understand the business, technology, data, and statistics to get the best of all worlds. They can fit into any business function, turbocharge system projects, and Read more…

Getting Data Scientists and Data Engineers on the Same Page

Like cats and dogs, data engineers and data scientists often seem like two incompatible species. Scientists love probabilities and experimentation, while engineers live for repeatability and efficiency. They have differe Read more…

In Pursuit of Citizen Data Scientists, Not Unicorns

As the CIO of a $26-billion manufacturer, Gary Cantrell had the will and the means to hire data scientists. He had plenty of data science problems to tackle at Jabil, which manufactures electronic devices on behalf of 30 Read more…

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