Getting a Grip on Your AI: Know What It Does. Understand the Risks and Rewards. Be Compliant
- LANGUAGE: English DATE: Monday, November 04, 2019 TIME: 2:00pm CET, 8:00am EST
The case for integrating AI into business processes is ever stronger. Now it’s time to assess realistically what it can do for you. Existing successes and failures of AI beta-phase testing show how to resist the survivorship bias when implementing your own AI programs. Clarify the characteristics of AI data that may be problematic, and discover where investment should be concentrated on further customizing your AI solutions.
Compliance with data protection standards remains an open question as both technology and public demand evolves. Over-enthusiasm in future functionality can lead to a misalignment in data storage practices. Inserting intuition into AI systems could create “unexplainable” AI, making it difficult to measure and understand obtained results.
Balance the AI hype with sound knowledge of the current conditions. Among the topics covered in this webinar, expect to discuss:
- Importance of robust AI
- Avoiding data bias
- Challenges in keeping narrow AI explainable
- Avoiding data hoarding
KuppingerCole Analyst Anne Bailey will speak about data management for AI solutions in light of the technology's constantly changing capabilities.
There is growing interest in deception as a methodology and as an integral part of cybersecurity architecture, as organizations seek more effective approaches for detecting and responding to threats in real time. Distributed Deception Platforms have made this approach practical and affordable for the first time, but choosing the right solution can be challenging.