10 Must-Have Capabilities of an Enterprise AI Platform
Learn the key AI platform capabilities required to ingest, process, and act on audio, video, images, text, and data
Data-driven organizations use AI and ML, either natively within applications or infused into applications, to gain enhanced decision intelligence as well as automate processes for greater efficiency. But the proliferation of AI projects, ML models, APIs, and data sets to enable these processes present serious challenges that stand in the way of successful AI and ML deployments.
An Enterprise AI platform solves these challenges by unifying AI models, model orchestration, data processing, storage, workflow, integration, and monitoring under a single platform approach.
However, not all Enterprise AI platforms are created equally. With the ten must-have capabilities of an Enterprise AI platform described in this webinar, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
Join us and:
- Discover the top 10 capabilities needed in a comprehensive AI platform to ensure AI project success
- Find out how real-world companies are using AI to drive digital transformation and disrupt the status quo
- Get personalized advice on concrete next steps to take on your AI journey
- Key considerations for increasing both the speed and cost-effectiveness of AI-powered application development
Speakers
Ryan Bazler
VP Marketing
Veritone
Ryan has over 20 years of experience managing enterprise software and artificial intelligence products. Ryan currently leads product marketing, marketing communications, and demand generation for Veritone’s Commercial Enterprise AI business, powered by the aiWARE Enterprise AI platform.
Sanjay Patel
President
WebFirst
Sanjay is President and founder, of WebFirst, an award-winning technology company specializing in web, mobile and Health IT solutions for federal agencies and non-profits. He is passionate about the intersection of innovation and public health. Sanjay holds a Bachelor’s Degree in biomedical engineering and a Master’s Degree in Computer Science from The Johns Hopkins University.
Grace Schroeder
CEO
SLINGR-io
Grace has over 20+ years of experience in leading startup teams. Grace has been the CEO of SLINGR.io since 2010 and plays a large role in the company’s business execution and vision where she leads the team across continents. She holds a BA in psychology from San Francisco State University.
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