Name: Next-Generation Asset Management: How AI Helps Enterprises Activate their Media
Start: 2022-05-12T17:00:00Z
End: 2022-05-12T17:00:57.000Z
Location: BrightTALK
Rating: 0

Veritone is a leader in enterprise AI software, services, and applications, helping companies transform their operations and solve the complexities of digital information today. With our AI solutions and rich partner ecosystem, our customers can address their current and future challenges, empowering them to run more efficiently, accelerate decision making, and gain a competitive edge.

Content is more pervasive than ever, and enterprises need to keep pace to effectively manage and leverage it. Whether managing owned in-house content or from outside sources such as social media and YouTube, organizations need a way to manage that content at scale, improve searchability and shareability, and automatically produce insights that help them more efficiently and effectively run their businesses.

In this webinar you will:
 - Uncover the top areas where you’re likely not making best use of your content today
- Learn how AI-powered digital media asset management can automatically produce more insight and workflow automation
- Discover how AI can help identify faces, logos, on-screen text, and more in unstructured media content such as video and audio
- Hear how PROGRESS, a German film archive with more than 20,000 assets, is making its trove of historic and modern films easier to discover, share, and monetize
- Understand how to accomplish all of this and more using an enterprise AI platform approach

Don’t miss this informative event — register today.

Next-Generation Asset Management: How AI Helps Enterprises Activate their Media

Next-Generation Asset Management: How AI Helps Enterprises Activate their Media

Content is more pervasive than ever, and enterprises need to keep pace to effectively manage and leverage it. Whether managing owned in-house content or from outside sources such as social media and YouTube, organizations need a way to manage that content at scale, improve searchability and shareability, and automatically produce insights that help them more efficiently and effectively run their businesses.

AI and machine learning are closely linked to digital transformation, and is perhaps why 2021- a year of immense business transformation - has seen such a shift towards MLOps and ModelOps. In fact, according to a recent IBM survey, 21% of respondents said that AIOps had a “transformational” relationship between IT and other parts of the business.

Some key takeaways from organisations implementing MLOps include observability and end-to-end visibility, automation of complex processes, and support on the cloud. Evidently, MLOps and ModelOps can have a real impact on the relationship between moving parts in the organisation, and done right, can have a transformative impact on your business.

Join us in this session as we discuss:
-  How MLOps and ModelOps have impacted transformation efforts in 2021
-  Best practices for implementing MLOps in your organisation
-  Overcoming challenges when it comes to implementation
-  ModelOps challenges and how to overcome them
-  What’s next for MLOps and ModelOps as we move into 2022

MLOps & ModelOps: What’s next?

The last 18 months have seen rapid transformation in the workplace with the onset of hybrid working. A parallel can be drawn between the growth of hybrid working, and the growth of AI, but how can the two go hand in hand to support employees and leaders, enabling them to work efficiently and productively even when the workplace faces rapid change? 

AI-powered tools automate business processes, enable collaboration between distributed employees, offer opportunities for learning and development and much more. As we look to the future, and hybrid work becomes our ‘new normal’, AI and machine learning will undoubtedly accelerate our transition to hybrid work, and shift working processes. 

Join Ramesh Dontha, DX pro, and speakers as they discuss: 
-  The problems that AI can solve in the move to a fully hybrid workforce
-  Privacy concerns, especially when considering employees who are fully remote, and how to overcome these challenges
-  Chatbots, and the possibility of robot coaches in remote work settings 
-  AI-enabled solutions and tools available today, and how to leverage their full potential

How AI is Powering the Move to a Hybrid Workforce

There is a culture of fear behind AI and Machine Learning that stems from a lack of understanding and a fear of job loss. But in 2021, how rational is this fear? 

In this month’s episode of AI: The Future of Business, we’re asking this question. We’ll be breaking down how AI is enabling many businesses and industries to do their best work, and we’ll be asking to what degree AI can open doors rather than close them. 

Join us as we discuss:

-  Why there is the misconceived notion that AI and Machine Learning are threats to the human workforce
-  Where the mainstream culture of fear derives from and how businesses can help their workforces overcome this fear
-  The practical ways in which AI enables us to work more productively and collaboratively
-  The role of AI in enhancing employee happiness, productivity and careers
-  And more

AI and The Future of the Workforce: a Hindrance or a Help?

Decoding Data Automation With Cloud-Native Analytics Pipeline and MLOps

The Future of Business Intelligence

Make Your Data Pay -- What Non-technical Executives Need to Know

Business Transformation Through Insights-Driven Automation

The Future of Decision-Making: Human-Powered AI

Keys to building a successful business intelligence team

The Perfect Marriage: BI and CDPs Create a Data Center of Excellence

Do More With Data We Have: Engineering Strategies To Match Good Data to Products

Setting the Budget for the ML Stack for Analytics

Advanced BI Features Help Democratize Data

Bad Analytics: What They Are and How To Avoid Them

Ensure customer trust with data automation and security best practices

Asset Management

Monetization

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Next-Generation Asset Management: How AI Helps Enterprises Activate their Media

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