From supporting teams with open-source data science tooling to getting integrated data science workflows running, Domino's Spring 23 release democratizes the most advanced ML research tools and techniques. Our latest blog post explains how.
@dominodatalab
-
Domino Spring 2023 Expands Enterprise AI ML Tools Support
By
–
The Domino Spring 2023 release expands enterprise-grade support for the open-source #ML tools used to develop today’s most advanced #AI apps. Learn more about how we are helping enterprises harness the power of cutting-edge tech AI at scale: https://
dominodatalab.com/news/domino-da
ta-lab-makes-cutting-edge-ai-accessible-to-all-enterprises
… -
Multi-Cloud Strategy Replaces Cloud-First as Companies Seek Cost Efficiency
By
–
Cloud-first is hitting the limits of efficacy due to challenges such as cost & complexity. Now, many companies are developing a hybrid multi-cloud approach. Learn more about why #multicloud is the new cloud from our own Thomas Robinson in @TechCrunch
: https://
techcrunch.com/2023/03/20/the
-cloud-backlash-has-begun-why-big-data-is-pulling-compute-back-on-premises/
… -
CDOs Prioritize AI/ML Value Generation Strategy in 2023
By
–
Today's business leaders are betting big on #AI. So much so that 76% of #CDOs and #CDAOs are making AI/ML value generation a top-three 2023 priority. Learn more about how organizations can build a winning AI offense in our new study: https://
domino.buzz/4292G2u #MLOps #datascience -
Data Science Revenue Engine: Enterprise Leaders Underresourced
By
–
According to our new study surveying #CDOs and #CDAOs, #datascience is a key #2023 revenue and innovation engine for the enterprise, but most enterprise data and analytics leaders are inadequately resourced to deliver on business leaders' expectations. https://t.co/wJ7QAOHxGt #AI pic.twitter.com/eRjX5FEgGn
— Domino Data Lab (@DominoDataLab) 14 mars 2023According to our new study surveying #CDOs and #CDAOs, #datascience is a key #2023 revenue and innovation engine for the enterprise, but most enterprise data and analytics leaders are inadequately resourced to deliver on business leaders' expectations. https://
domino.buzz/3ZMKSst #AI -
Jack Parmer discusses code-first approach to data science
By
–
Our own Jack Parmer sat down with @JamesMaguire of @eWEEKNEWS to talk about what it means to take a "code-first" approach to #datascience. Listen to the interview here: https://
domino.buzz/40lMSIj -
MLOps for Large-Scale Deep Learning with GPT-3 at GTC23
By
–
On March 23rd at #gtc23, Subir Mansukhani will delve into the MLOps considerations of working with these models like GPT-3 in, "Large-Scale Deep Learning using Hybrid/Multi-Cloud MLOps, GPUs, OpenMPI, and DeepSpeed". Add this to your agenda. Reg is free. https://
domino.buzz/3Jnn1tu -
Domino Platform: Weekly Demo on ML Model Deployment
By
–
See Domino in action at our 30-minute weekly demos Every Thursday at 9 AM PT | 12 PM ET | 5 PM GMT! We'll showcase how to access powerful compute, reuse code, and deploy models in our platform — save your seat now. https://
domino.buzz/41Jvlv7 #datascience #MLOps #AI -
Domino Code Assist: Streamline Data Science Workflow
By
–
If you're a data scientist looking to streamline your workflow and coding efficiency, this post is for you!. A "how to" video series illustrates how Domino Code Assist helps import, transform and visualize data, create and deploy data apps, plus more.
-
Diffusion Modeling: Beyond Jackalopes in Image Generation
By
–
Jackalopes are just the beginning of the images you can computer-generate with diffusion modeling, an interesting, effective technique for creating realistic images, as @quantum_tunnel explains: