Remove 2019 Remove Data Processing Remove Experimentation Remove Optimization
article thumbnail

The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 130
article thumbnail

What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT.

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

Observe, optimize, and scale enterprise data pipelines. . GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. Azure Repos – Unlimited, cloud-hosted private Git repos. .

Testing 307
article thumbnail

Stay Agile in a Shifting Manufacturing Market With Longview Tax

Jet Global

For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk. Manufacturing organizations will succeed if they can adapt quickly to shifting supply chains and maintaining agility in reporting.

article thumbnail

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Software writes Software? SQL and Spark.

Metadata 105
article thumbnail

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.