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Search Results for: AI

Seven Steps to Effective AI Adoption for Your Enterprise

In this contributed article, Rinat Gareev, a Solution Architect and ML Practice Lead at Provectus, details 7 important steps that can help your organization overcome the barriers to successful AI adoption. Today many executives realize that the future success of their business may depend on the ability to effectively implement an AI strategy, to keep pace with rapid AI-driven digitalization across almost all sectors and industries. 

Faces as the Future of AI

In this contributed article, Dr. Sergey I. Nikolenko, Head of AI at Synthesis AI, discusses how in AI, problems related to human faces are coming to the forefront of computer vision. The article considers some of them, discusses the current state of the art, and introduces a common solution that might advance it in the near future.

5 Expert Tips to Help Build and Maintain a Powerful Customer Dashboard

In this special guest feature, Dave Hurt, CEO and Co-founder at Verbdata, discusses how building, implementing, and maintaining dashboards requires a deep understanding of how to invest resources and time in product and engineering. While this task can be laborious, to begin with, planning ahead not only ensures customer satisfaction and optimum performance but provides actionable insights to assist the decision-making process. 

Veritone Multi Cloud AI Platform Provider Approved for Use Across the Entire US Department of Justice

Veritone, Inc. (NASDAQ: VERI), creator of aiWARE, a hyper-expansive Enterprise AI platform, announced the expanded availability of aiWARE Government for all components of the U.S. Department of Justice (DOJ). Originally sponsored by the Executive Office for United States Attorneys (EOUSA) within the DOJ, Veritone has obtained an expanded, enterprise-wide Authority to Operate (ATO) from the FedRAMP authorization board for its aiWARE™ Government platform.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – September 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Embracing AI in the World of Auto Insurance

In this special guest feature, John Goodson, Chief Technology Officer for CCC Intelligent Solutions, discusses how in the world of auto insurance, AI provides unprecedented clarity to reduce risk and elevate the customer experience by enabling faster decision-making than ever before – helping to keep people’s lives moving forward when it matters most. 

AI’s Build Vs. Buy Dilemma: One Size Does Not Fit All

In this contributed article, Nurit Cohen Inger, VP of Products, BeyondMinds, discusses the frustratingly slow pace of implementation, in which projects take years to yield results, and very often fail, is hindering AI. A faster, more efficient approach is needed before we can fully enter the AI era. But the question remains, how can companies speed up their AI transformation?

New O’Reilly Report Reveals Nearly Two-Thirds of Data & AI Professionals Prioritize Job Training in Hopes of Salary Increase

Reilly, a premier source for insight-driven learning on technology and business, announced the results of its 2021 Data/AI Salary Survey, which revealed that 64% of respondents took part in training or obtained new certifications in the past year to build upon their professional skills.

Move Ideas Faster: Incorporating AIOps into your Tech Stack

In this special guest feature, Matt Chotin, Vice President of Product Management at CloudBees, discusses how the visibility AIOps provides combined with automation capabilities allows businesses to be more proactive in changes they make to be more efficient. Ultimately, AIOps should make an organization’s leaders feel empowered to make changes and move ideas faster.

Cloudera Shines Educational Spotlight on Data and AI with Children’s Book for 8- to 12-year-olds

Cloudera, Inc., the enterprise data cloud company, announced “A Fresh Squeeze on Data,” a downloadable children’s book that explains simple ways to problem solve with data in a manner that kids can understand. The book was created in partnership with education company ReadyAI, with the goal of making data and AI more interesting and accessible to 8- to 12-year-olds.