Top Analytics and Data Science News for the Week Ending September 23, 2022
The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of September 23, 2022.
Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.
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Count is a hyper-collaborative data platform that is putting collaboration and problem-solving at the heart of data analysis. Its flagship product canvas is an all-in-one data analysis and contextualization platform that helps teams join forces during the entire analytics workflow, accelerating data-driven decision-making across the whole business.
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The new Domino integration with NVIDIA GPUs and NetApp data management and storage solutions will allow teams to run AI and machine learning workloads in either data centers or AWS without refactoring them. To support partners as they advance AI centers of excellence with full-stack solutions, Domino has also released an NVIDIA-validated reference architecture for integrating MLOps and on-premises NVIDIA DGX systems.
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Domo released the 10th edition of its Data Never Sleeps (DNS) infographic, the annual glimpse at how much data is generated on the internet every minute by the ways people interact online. Over the last decade of chronicling the world’s data usage, Domo finds that the use of services such as Instagram, YouTube, Amazon, and Venmo among others has increased hundreds and even thousands of percentage points in some cases.
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Matik Team enables individuals and small teams to automate the creation of any presentation that needs to be personalized regularly or updated frequently. Matik Team automates the process of creating these data-driven presentations—all users have to do is provide Matik with a few inputs, like who the presentation is for or a specific date range, and Matik will generate a presentation natively in Google Slides or Microsoft PowerPoint that is ready for use.
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“Horizontal Fusion” is the term used to highlight the approach of fusing multiple smaller data source queries together into a larger data source query. Fewer data source queries mean fewer roundtrips and fewer expensive scans over large data sources, which ultimately results in sizeable DAX performance gains plus reduced processing demand at the data source. Not only do DAX queries run faster with Horizontal Fusion, especially in DirectQuery mode, but scalability also increases.
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The aim is to offer a unique webinar featuring an inside look at the vendor’s new platform for automation and remediation, which enables visibility across all environments so IT teams can continuously improve the digital workplace by optimizing productivity and cost. Alongside a live product demo, the Spotlight event will also feature an interview about the product with a member of Nexthink’s team.
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Striim announced at the Big Data LDN conference and expo that it has expanded its worldwide reach and is making its fully managed data streaming service Striim Cloud available to the United Kingdom and Europe. Databricks Technology Partners integrate their solutions with Databricks to provide complementary capabilities for ETL, data ingestion, business intelligence, machine learning, and governance.
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ThoughtSpot has announced the opening of a new office in Trivandrum, the company’s third R&D center in India. The new investment will fuel continued product innovation for the company’s Modern Analytics Cloud vision and product line. The investments ThoughtSpot is making in India over the next five years is part of the company’s long term strategy in the market and a natural evolution of activity to date.
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You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.
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For consideration in future analytics and data science news roundups, send your announcements to the editor: [email protected].

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