Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Search Results for: AI
“Above the Trend Line” – Your Industry Rumor Central for 3/31/2023
Heard on the Street – 3/30/2023
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Feed the Beast: How to Get Business Analytics Delivering
In this contributed article, Chonchol Gupta, CEO, Rebirth Analytics, believes that if enterprises want to identify and swerve risk, they require a radical rethink of how they obtain the data that fuels their analytics engines.
insideBIGDATA Latest News – 3/29/2023
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
SnapLogic Reveals SnapGPT to Revolutionize Integration and Automation
SnapLogic, a leader in intelligent integration and enterprise automation, announced the release of SnapGPT, the first-ever generative AI solution for enterprise applications and the modern data stack. The new addition to the SnapLogic platform leverages AI to quickly integrate and automate business processes using natural language prompts. With SnapGPT, IT and business users will be able […]
Data Center and Infrastructure Report: Trends and Insights for 2023
Service Express surveyed over 900 IT professionals to identify the priorities, challenges and decision drivers impacting data center strategies. Find helpful insights and more in this fifth annual report. The global shift in health, business and technology is still shaping IT landscapes. Leaders continue to evolve strategies to address supply chain disruptions, security threats, performance […]
Acceldata and its Data Observability Platform – Solving Big Data Management Challenges
In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.
Scale to Survive: How to Attract Investors in a Post-SVB World
In this contributed article, Eric Kavanagh is CEO of The Bloor Group, focuses on a recent conversation between a pair of tech executives: Software AG CEO Sanjay Brahmawar and former IBM president and Red Hat CEO Jim Whitehurst. The two leaders talked about innovations and investing in challenging financial times, a topic made even more relevant in the wake of the SVB news.
dbt Labs Report – Opportunities and Challenges for Analytics Engineers
The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data.
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.