You may not be familiar with Kaltura‘s name, but chances are you’ve used the company’s video platform at some point or another, given that it offers a variety of video services for enterprises, educational institutions and video on demand platforms, including HBO, Phillips, SAP, Stanford and others. Today, the company announced the launch of an advanced analytics platform for its enterprise and educational users.
The incident revealed passwords and network information about data management company Attunity as well as emails and technology designs from some of its high-profile customers
The most in-demand data management certifications today reflect where many organizations are placing their emphasis as they look to leverage information resources.
Quantitative executive recruitment firm Burtch Works annual salary survey revealed changes in the job market for data scientists and predictive analytics pros.
Medical care has relied on the education and expertise of doctors. Human error is common and 250,000 people per year die from medical errors. As the third-leading cause of death in the United States, limiting errors is a key focus in the healthcare industry.
Big data and predictive analytics will lead to healthcare improvement.
But how? Health IT Analytics previously published an excellent paper on some of the best use cases of predictive analytics in healthcare.
An independent expert group tasked with advising the European Commission to inform its regulatory response to artificial intelligence — to underpin EU lawmakers’ stated aim of ensuring AI developments are “human centric” — has published its policy and investment recommendations.
This follows earlier ethics guidelines for “trustworthy AI”, put out by the High Level Expert Group (HLEG) for AI back in April, when the Commission also called for participants to test the draft rules.
The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The journal Risk Management and Insurance Review mentions that historically, in the latter half of the twentieth century, the analysis of trends was the primary driver in determining risk in the insurance business.
When it comes to a cloud success story, Snowflake checks all the boxes. It’s a SaaS product going after industry giants. It has raised bushels of cash and grown extremely rapidly — and the story is continuing to develop for the cloud data lake company.
In September, Snowflake’s co-founder and president of product Benoit Dageville will join us at our inaugural TechCrunch Sessions: Enterprise event on September 5 in San Francisco.
The march of globalization continues unabated, and with it comes a growing demand for companies of all sizes to communicate with and sell to each other, regardless of the distance or any other barrier. Now, a startup that has built a platform to help them do that better and more cheaply is announcing a round of funding to capitalize on the opportunity.
Google bought Kaggle in 2017 to provide a data science community for its big data processing tools on Google Cloud. Today, the company announced a new direct integration between Kaggle and BigQuery, Google’s cloud data warehouse.
More specifically, data scientists can build a model in a Kaggle Jupyter Notebook, known as Kaggle Kernels in the community. You can then link directly to BigQuery through the tool’s API, making it much simpler to query against the data in the data warehouse using SQL, a language data scientists tend to be very familiar with.