Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Datatron Offers Accelerated AI Model Deployment and AI Governance Program

Datatron is offering five companies the chance to take part in a hyper-accelerated program that guarantees their AI models will be deployed or governed in less than two weeks, the company announced.

The biggest problem in companies adopting AI is the lack of expertise to tackle the complexity of the machine learning development lifecycle. It’s common to hear even the largest enterprises take nine to 12 months to deploy an AI model once the data scientists have completed their models. According to IDC, an estimated 28% of AI/ML projects fail, in part due to lack of staff with the necessary experience.

Recommended AI News: Bookkeep Announces Stripe, Sage Intacct and NetSuite Integrations to Improve Accounting Automation for Omnichannel Retailers

Furthermore, having a black-box AI running in production and making decisions that are hard to comprehend elicits fears and concerns on whether these AI models could make judgements that would have negative consequences for the enterprise. Therefore, enterprises need proper monitoring and governance to not only ensure the AI models are performing as intended, but also to gain trust in the effectiveness of AI initiatives.

This contest removes these roadblocks to AI success, and leverages the expertise of Datatron founder and CEO, Harish Doddi. As an early AI/ML pioneer, he worked on Snapchat’s highly profitable “stories” and Lyft’s “surge” model to use a proven playbook to profitability and deliver return-on-investment from AI/ML.

Recommended AI News: Netrix Acquires BTB Security, a Provider of Cybersecurity and Digital Forensics Solutions

Related Posts
1 of 41,052

The five selected companies will receive:

  • Top tips for generating revenue and profit with AI/ML
  • Dedicated Datatron and industry expertise to integrate toolsets in the enterprise
  • An on-premises or cloud instance delivering one model into production in seven days
  • Industry-leading MLOps, governance and operationalization functionalities
  • Best practices to monitor and govern AI models for performance and compliance

To apply, companies must complete a brief questionnaire by midnight, Jan. 31, 2022 to gauge fit, contingencies and commitment. Winners will be awarded by Feb. 15, 2022.

Harish Doddi, CEO, Datatron, said: “We want to show once and for all how our solution, tested and proven by a Super Bowl sponsor, stands head and shoulders above any other MLOps solution in the market. Over the years, there have been a lot of solutions and tools in the marketplace that do not offer real business benefits. We are taking a stance to cut out a lot of the noise and confusion that prevents most companies from being successful with AI.”

Recommended AI News: PINC AI Launches INsights, an Enhanced Technology Offering for Customized, On-Demand Healthcare Analytics

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.