January 19, 2023
AtScale Enterprise AI Predictions 2023As we approach the end of 2022 and reflect on AtScale’s progress over the last 12 months, we asked four of our forward-looking AtScale executives for their thoughts on the broader data, analytics, and enterprise AI markets. Here are their…
January 10, 2023
Data Analytics is The Foundation of an Enterprise AI StrategyThere is a massive global investment in enterprise AI. While the potential for AI-driven value is huge, organizations are struggling with a common set of challenges to realizing this potential: Lack of data scientists, difficulty in moving more models to…
December 15, 2022
How to Maximize the Value of AI and BI at ScaleA few weeks ago, I spoke with two industry experts to get a first-hand view of maximizing AI and BI at scale. The panelists included Deepak Jose, Global Head of On-Demand Data and Analytics Solutions at Mars, and Jigyasa Grover,…
September 27, 2022
How to Use the Best AutoML Tools to Scale ML…with CautionThe use of AutoML products has increased drastically in the last few years as AI has become more widely applied in the modern data analytics stack. And there’s still potential for more growth in the years ahead; according to recent…
September 22, 2022
Using the Semantic Layer for AI/ML Product DevelopmentThe influx of data has increased exponentially over the last decade. As illustrated below, data creation is expected to grow by 86% by 2025 due to an increased digital footprint during the pandemic. [caption id="attachment_20629" align="aligncenter" width="450"] Source: https://www.statista.com/statistics/871513/worldwide-data-created/[/caption] Many…
September 15, 2022
Now Available: AI-Link Lab EnvironmentAt AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the successful deployment of analytics and…
September 8, 2022
How to Use a Semantic Layer and Augmented Intelligence to Empower Data ConsumersIn my talk with AI Evangelist, Ben Taylor, we discussed how to use a Semantic Layer and augmented intelligence (AI) to bridge the gap between AI and business intelligence (BI) teams to drive business impact. DataRobot is a powerful enterprise…
September 1, 2022
How to Go Beyond Data Storytelling to ML and AI StorytellingThis post written by Zach Eslami in collaboration with Jeff Curran. Storytelling is an art and a skill. Any good storyteller knows it’s always tricky finding that sweet spot to explain a concept so that it’s detailed, but doesn’t overwhelm.…
August 18, 2022
Using a Semantic Layer With Your Data Strategy in Financial ServicesFinancial services companies have unique security, regulatory, and compliance obligations. At the same time, the industry is facing rapid evolution and a new generation of FinTech competitors are emerging that aren’t burdened by legacy systems or thinking. At the center…
July 21, 2022
Ops for MLOps: AtScale AI Innovation Council InsightsWe kicked off our inaugural AtScale AI Innovation council today discussing a hot topic: Ops for MLOps: Best practices and processes to expedite model creation and reduce the need for significant re-training. We had a fantastic group of members dive…
