AI Panel: AI in Practice- the Good, the Bad, and the Ugly

•

1 like•267 views

Presented at Activate 2018

AI in Practice: The Good,
the Bad and the Ugly
Moderator: Grant Ingersoll
CTO/Founder, Lucidworks
@gsingers
#Activate18 #ActivateSearch

Format
The Good
Audience Questions
Lightning Round
The Bad
Audience Questions
The Ugly

The Panelists

Daniel Tunkelang
High Class Consultant
Founder and former Chief
Scientist at Endeca, now
focused on helping companies
address their hardest search
challenges.
@dtunkelang

Reddit
Anupama manages search
at Reddit from ingestion to
results and infra to ranking.
Anupama Joshi

Josh Wills
Software Engineer, Slack
A recovering engineering
director. Led data
science teams at
Cloudera and Google.
Wrote a popular tweet
about data scientists.
@josh_wills

Kavita Ganesan
Sr. Data Scientist, Github
Helped launch Github’s first
machine learning and NLP
pipelines. Spent career working
on search, recommenders,
sentiment analysis and clinical
text mining.
@kav_gan

The Good
Where does AI get it right in practice?

Audience Questions

Lightning Round
Play along by taking the
AI Panel Poll in the App

Our language of choice for
data science is ________.

Autonomous vehicles
will be in mass production
by 2022.

How many data science
experiments did you run in the
past 12 months?

Of those experiments, how
many resulted in significant
positive results?

How many resulted in
negative results?

Deep learning is my
go to approach.

AI means never having to
________ again.

The one search/artificial
intelligence topic I wish I knew
more about is ________.

AI will fundamentally
reshape society in the
next 10 years.

Should AI have
to explain itself?

AI-created disinformation
is cause for AI to
be globally regulated.

The Bad
Where does AI break in practice?

Audience Questions

AI Panel Poll Results

The Ugly
How do we avoid bias in practice?

Thank you!
Please join us at 1909 Taverne Moderne
for the Activate Conference Party!
Details in the App.

Thank You to our Sponsors
PLATINUM
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SILVER
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The COVID-19 pandemic has forced companies to support far more customers and employees through digital channels than ever before. Many are turning to chatbots to help meet increasing demand, but traditional rules-based approaches can’t keep up. Our new Smart Answers add-on to Lucidworks Fusion makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve.

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Watch our on-demand webinar showcasing Smart Answers on Lucidworks Fusion. This technology makes existing chatbots and virtual assistants more intelligent and more valuable to the people you serve. In this webinar, we’ll cover off: -How search and deep learning extend conversational frameworks for improved experiences -How Smart Answers improves customer care, call deflection, and employee self-service -A live demo of Smart Answers for multi-channel self-service support

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In the current climate, it’s now more important than ever to digitally enable your workforce and customers. Hear from Simon Taylor, VP Global Partners & Alliances, Lucidworks and Matt Aslett, Research Vice President, 451 Research to get the inside scoop on how industry leaders in Europe are developing and executing their digital transformation strategies. In this webinar, we’ll discuss: The top challenges and aspirations European business and technology leaders are solving using AI and search technology Which search and AI use cases are making the biggest impact in industries such as finance, healthcare, retail and energy in Europe What technology buyers should look for when evaluating AI and search solutions

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1. AI in Practice: The Good, the Bad and the Ugly Moderator: Grant Ingersoll CTO/Founder, Lucidworks @gsingers #Activate18 #ActivateSearch

2. Format The Good Audience Questions Lightning Round The Bad Audience Questions The Ugly

3. The Panelists

4. Daniel Tunkelang High Class Consultant Founder and former Chief Scientist at Endeca, now focused on helping companies address their hardest search challenges. @dtunkelang

5. Reddit Anupama manages search at Reddit from ingestion to results and infra to ranking. Anupama Joshi

6. Josh Wills Software Engineer, Slack A recovering engineering director. Led data science teams at Cloudera and Google. Wrote a popular tweet about data scientists. @josh_wills

7. Kavita Ganesan Sr. Data Scientist, Github Helped launch Github’s first machine learning and NLP pipelines. Spent career working on search, recommenders, sentiment analysis and clinical text mining. @kav_gan

8. The Good Where does AI get it right in practice?

9. Audience Questions

10. Lightning Round Play along by taking the AI Panel Poll in the App

11. Our language of choice for data science is ________.

12. Autonomous vehicles will be in mass production by 2022.

13. How many data science experiments did you run in the past 12 months?

14. Of those experiments, how many resulted in significant positive results?

15. How many resulted in negative results?

16. Deep learning is my go to approach.

17. AI means never having to ________ again.

18. The one search/artificial intelligence topic I wish I knew more about is ________.

19. AI will fundamentally reshape society in the next 10 years.

20. Should AI have to explain itself?

21. AI-created disinformation is cause for AI to be globally regulated.

22. The Bad Where does AI break in practice?

23. Audience Questions

24. AI Panel Poll Results

25. The Ugly How do we avoid bias in practice?

26. Thank you! Please join us at 1909 Taverne Moderne for the Activate Conference Party! Details in the App.

27. Thank You to our Sponsors PLATINUM GOLD SILVER BRONZE