Artificial Intelligence (AI) has been around for some time, yet it often felt like "that's not needed for what I do" or "that's IT's issue to deal with." Well, not anymore – in the last few months, generative AI has exploded thanks to the launch of ChatGPT. And we’ve been talking about AI and machine learning for a few years now. But what does all this mean for Information Management professionals, now and in the coming year?
Watch the replay where a lineup of industry experts as we discuss and explore the impact AI has – and will continue to have – on Information Management. Remember, you don’t need to worry about what AI is, but you do need to understand what it does and what it can do. We share how to:
- Gain insight into ways your organization can take full advantage of AI
- Learn the IM methods and tactics needed to maximize AI's potential
- Understand the value of information governance as AI's use increases in organizations
- Shore up your processes to help AI be more efficient
Get an understanding of the advantages of artificial intelligence, the risks, and how to responsibly respond to the exploration of AI's use in the enterprise.
This webinar is approved for 2.5 hours of CIP Maintenance Credits.
Speakers for this event:
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Host: Kevin Craine, MBA Content Strategist AIIM
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Alan Pelz-Sharpe Founder & Principal Analyst Deep Analysis
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Candace McCabe, CIP Sr. Solution Architect - Global Technical Platforms - Enterprise Architecture Walmart
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Greg Hauenstein Enterprise Account Executive Hyperscience
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Jason Cassidy CEO Shinydocs
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Jed Cawthorne, MBA, CIP, IG Principal Evangelist Shinydocs
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Stephen Young President & CEO Square 9 Softworks
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Tori Miller Liu, MBA, FASAE, CAE President & CEO AIIM International
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Agenda:
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Alan Pelz-Sharpe Founder & Principal Analyst Deep Analysis
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The State of the AI Marketplace
It's understandable if you think AI now equals ChatGPT, but there is much more to it than that. Information managers must understand their options and what's on offer as AI starts permeating every element of the Information Management tech stack. Hence, this session will give you an overview of the key trends, unpack the AI landscape, understand the options available, explain what to look out for, and give some insight into what is coming next.
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Stephen Young President & CEO Square 9 Softworks
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Reimagine Your Accounts Payable Processes with Artificial Intelligence
Let’s end the challenge of lost or misplaced invoices, approval bottlenecks, and tedious data entry into multiple systems. Now, you can capture and extract key data from your documents through Artificial Intelligence, eliminate data entry, access documents in the office or from home, streamline your three-way matching process, and automate invoice approval routing. Accounts Payable automation keeps the stream of services your business needs flowing to keep your business growing.
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Alan Pelz-Sharpe
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Jed Cawthorne, MBA, CIP, IG
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Tori Miller Liu, MBA, FASAE, CAE
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AIIM on AI Accountability
In this panel discussion, we'll share and discuss the key tenets from AIIM's comment on AI accountability to the U.S. National Telecommunications and Information Administration. We'll be joined by the letter's principal authors.
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Candace McCabe, CIP Sr. Solution Architect - Global Technical Platforms - Enterprise Architecture Walmart
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What is AI bias and how can you Eliminate it in your Machine Learning Outputs?
Artificial Intelligence (AI) is embedded in many of the systems we use every day. If these powerful systems are biased, then so are the results they produce. Bias can occur in how the data is produced/acquired, how the algorithms are designed/programmed, and how the results are interpreted. Given the massive amount of data that can be processed from these systems, bias can easily be compounded. What can IM pros do to identify and correct bias?
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Greg Hauenstein Enterprise Account Executive Hyperscience
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Paving the way for AI in the Enterprise
The AI revolution is here. In spite of economic headwinds, AI investment is growing, and Generative AI is disrupting the consumer market by providing mainstream access to the power of AI. But how can Information Management professionals successfully use their own data to train and deploy AI models into their enterprise processes, and without hiring expensive AI engineers? Join Hyperscience to uncover how your enterprise can easily deploy the power of AI to transform business processes with Intelligent Document Processing.
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Jason Cassidy CEO Shinydocs
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Cutting Through the AI Hype: Practical Steps for Real-World Implementation
In this presentation, I will show you that it’s easier than you think to prepare your records and data for your own AI model. We will discuss AI ethics and how to build an Accountability Chain and give you immediate steps that you can take today to prepare your data for a range of specific automations and use cases.
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