Implementing AI - Do's and Dont's
For our third webinar, you will meet experts Anupam Kundu and Kevin Dewalt. They will use their own practical experiences to share concrete do’s and don’ts with us when implementing AI in your organization. They will tell us about the strategical deliberations you need to do beforehand, give their bids on which resources will be necessary, and what to do for the organization to become keener to implementing AI.
The webinar gives unique access to two very knowledgeable experts who will share their expertise on how to successfully implement AI in companies and how to avoid making the classic mistakes. The webinar takes place on November 9th, 2020 from 15:30 - 17:00.
Anupam Kundu starts out by talking about the strategical considerations that needs to be in place before starting the AI journey. As a long-time serial entrepreneur, he has experience with the initial strategic considerations and how to prepare the organization to work with data and artificial intelligence.
Next, Kevin Dewalt talks about how you can best tackle the practical tasks ahead when implementing AI. He discusses what resources are needed and how to prepare the organization for the implementation of AI - subjects Kevin on a daily basis helps Fortune 500 companies with. In addition, he has many years of experience in guiding companies in how to benefit from artificial intelligence.
The ‘Implementing AI - do's and don’ts’ webinar is the third out of four webinars in the series ‘AI Updates from Silicon Valley’. Throughout the series, experts and trendsetters within the AI field will give you their unique insights directly from Silicon Valley.
Sign up today!
Fill in the form and sign up for the webinar here. The deadline for sign up is November 7th, 2020.
About AI updates from Silicon Valley
”AI is today what IT was 30 years ago. You do not have to be the best in the world, but if you are not at least on the bandwagon, you will get nowhere". This is how the world's leading innovation expert Christian Ketels described the challenge with AI when he was the keynote speaker at ATV's annual meeting in August.
AI start-ups received more than 30 billion dollars in funding last year, with the world’s largest companies especially investing heavily in artificial intelligence. AI acquisitions saw a more than 6x uptick from 2013 to 2018. In 2018, Roche Holding acquired the AI startup Flatiron Health for $1.9B — one of the largest M&A deals in AI, ever.
AI is fundamentally changing the terms of doing business and the business world generally recognizes the potential for artificial intelligence. But there is a need to share more knowledge and experiences in order to inspire companies so they can accelerate growth, innovation, and digitalization.
We have therefore created a series of webinars directly from Silicon Valley, to inspire, share knowledge, and give concrete guidance on how companies can approach the work with data and AI – from the beginning strategic phase to implementation across, to ethical considerations.
Details
- Each webinar will be recorded and available to participants afterward.
- In connection with the webinars, the participants can ask questions to the speakers, and you can subsequently have a short dialogue with ICDK for further advice and dialogue with experts within ICDK's work areas in Silicon Valley.
- The webinars are in English.
- This webinar, the third in the series, takes place on November 9th, 2020, 15:30 - 17:00.
Who should participate?
We have in collaboration with ATV designed the ‘AI Updates from Silicon Valley’ webinar series for you, who wants to stay ahead of the latest AI transformation and want to expand your global network as well. The webinars are relevant for anyone working with or researching AI and who is interested in the latest knowledge and new trends in the field.Other webinars in the series
Crisis as a catalyst
Transforming data to a business asset
How do you turn data into a strong competitive edge? And to an instrumental management and innovation tool?
AI and the ethical challenges
Which ethical reflections are necessary when working with AI? And how should management handle potential ethical issues?
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