I addressed a few European CEOs on the 'What' and 'How' of Artificial Intelligence (AI). This was part of a Breakfast Event in Digitalist in Helsinki.

1. AIM with AI
– How AI is revolutionizing the world
by SK Reddy
Chief Product Officer AI & ML
linkedin.com/in/sk-reddy/
Digitalist (www.digitalist.global)

2. The economic impact of AI on countries
https://www.accenture.com/t20171005T065812Z__w__/us-en/_acnmedia/Accenture/next-gen-5/insight-ai-industry-growth/pdf/Accenture-AI-Industry-Growth-Full-Report.pdfla=en?la=en

4. https://www.linkedin.com/pulse/crystal-ball-emerging-technologies-s-k-reddy/

5. https://www.theverge.com/a/luka-artificial-intelligence-memorial-roman-mazurenko-bot
Chatbots that responds like your loved one….
https://mental.jmir.org/article/viewFile/mental_v4i2e19/2
Chatbots could be your therapist….

6. Consumer credit is one of these areas, says Graubner-Müller, who cofounded Kreditech in 2012. There are two classes of consumer credit, he says – people with no
access to credit and people with access to credit. One is middle class, well-employed and has a strong credit history. The other has more flexible employment situations,
for example, and is underserved by traditional financial institutions.
Banks are not able to cope with the risk of these customers – in fact, in Kreditech’s native Germany, around 40 per cent of customers are considered to be
“underbanked”. “This was a giant market opportunity,” says Graubner-Müller.
They use an additional 20,000 data points to assess
AI discovers 40% customers that are
under-banked in Germany
http://www.wired.co.uk/article/ai-revolution-alexander-graubner-muller-kreditech

7. How publishers can take advantage of ML
• Improve your newsroom's efficiency
• finding just the right photograph or video can be key in bringing a story to life
• Better understand your audience
• understand what that audience is reading and how they’re discovering content
• Engage with new audiences
• translating for different audiences
• Monetize your audience
• identify new subscription opportunities and offerings
• metadata collected from image, video, and content tagging creates an invaluable dataset to advertisers
• target native ads to likely interested readers
• Experiment with new formats
• across different platforms
• creating short form content from longer stories
• Keep your content safe for everyone
• Safe discussion can spiral out of control into offensive speech and bad language
https://www.blog.google/topics/journalism-news/how-publishers-can-take-advantage-machine-learning/

8. https://www.pwc.com/gx/en/about/stories-from-across-the-world/harnessing-the-power-of-ai-to-transform-the-detection-of-fraud-and-
error.html?utm_campaign=594c35c694a326565400c721&utm_content=5a0045713622f10ff0004bf1&utm_medium=smarpshare&utm_source=linkedin
Detect fraud and error
PwC has made a significant investment in pioneering artificial intelligence (AI) for the audit. For the past 18 months, we have partnered with
H2O.ai – a leading Silicon Valley company – to build a revolutionary bot that uses AI and machine learning to ‘x-ray’ a business, analysing
billions of data points in milliseconds, seeing what humans can’t, and applying judgement to detect anomalies in the general ledger. Called
GL.ai, it is the first module of PwC’s Audit.ai.
GL.ai was named the 'Audit Innovation of the Year' by the International Accounting Bulletin in October 2017. It examines every uploaded
transaction, every user, every amount and every account to find unusual transactions (indicating potential error or fraud) in the general ledger,
without bias or variability.

9. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608311/
Predicting couple therapy outcomes
based on speech acoustic features using ML

10. Fowl Language - AI Decodes the Nuances of Chicken “Speech”
https://www.scientificamerican.com/article/fowl-language-ai-decodes-the-nuances-of-chicken-ldquo-speech-rdquo/

11. http://aiweirdness.com/archive
AI can help you with
Trendy beer names
New paint colors and paint names
Design Halloween costumes
New Disney songs
Harry Potter spells
Pub names
Diseases you wont get
Kitchen recipes
Star War characters
Star War plane names
Broadway musicals
Music band names
Fortune cookies
Cocktails
Superheros

12. INTERPRETABLE COUNTING
FOR VISUAL QUESTION ANSWERING
https://arxiv.org/pdf/1712.08697.pdf

13. Microsoft researchers build
a bot that draws what you tell it to
https://arxiv.org/pdf/1711.10485.pdf

14. Ref: CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning; https://arxiv.org/pdf/1711.05225.pdf
ChexNet (121-layer dense CNN, a DenseNet)

16. AI is everywhere
By 8am you have used AI at least 10 times
• Read your News
• Checked the Weather
• Looked at interesting tickers in Stock market
• Checked for traffic and got to know the new suggested route
• Responded to a trending topic on your social media
• Listening to the new popular music on your way to work
• Searched for the best gift to your mom on Mother’s day

17. to enhance productivity, raise throughput,
improve predictions, outcomes, accuracy,
optimization, speed, quality, flexibility, service
and enable discovery of novel solutions and
possibilities?
for labor substitution?
AI
or

18. Google Search Trends: Deep Learning

19. What should I do….?

20. Tipping-point assessment
a point in time when a group—or a large number of group members—rapidly and dramatically changes its behavior by widely adopting a previously rare
practice - wikipedia
“How confident do you need to be before you are willing to make a significant investment?”
Are these approaching tipping point?
• customer awareness of AI
• AI tools and techniques
• Total cost of ownership (TCO)
• Regulations
• Switching barriers
• Ecosystem compatibility
• Scalability
• Influencers

21. MIT Sloan Management Review1; https://www.bcg.com/Images/Reshaping%20Business%20with%20Artificial%20Intelligence_tcm9-177882.pdf
Why?
• Know your challenges?
• Why are they challenges?
• Geographically distributed?
• Grew by acquisition?
• Growth targets?
• Diverse product portfolio?
• Regulatory industry?
• Entry barriers for competition?
• Productivity vs. Quantity vs. Quality?
• Large project syndrome?
• Revenue vs. Margins?
• Unpredictable growth rates?
• Have a priority list of challenges to
address?

22. AI Adoption Challenges
• 80-20 Rule of adoption1: Chasm between
ambition and adoption
• Low visibility of where to apply AI
• High expectations
• Shortage of talent
• Fear of AI (job loss, new learning, etc.)
• Tech challenges
• Costs
Pioneers (Understood and Adopted) 1
Investigators (Understood but in Pilot stage)
Experimenters (Piloting without deep understanding)
Passives (No adoption)
1MIT Sloan Management Review; https://www.bcg.com/Images/Reshaping%20Business%20with%20Artificial%20Intelligence_tcm9-177882.pdf
“Don’t invest in AI. We don’t invest in natural
language processing. Don’t invest in image
analytics. Invest in a business problem.”

23. MIT Sloan Management Review1; https://www.bcg.com/Images/Reshaping%20Business%20with%20Artificial%20Intelligence_tcm9-177882.pdf
• Is the organization aware of
‘how’ and ‘what’ of AI?
Awareness

24. Checklist (in addition to commonsense change management ideas)
• AI First motto
• AI health check of infra, skills, processes
• "Brace for impact” (failures are possible)
• Chief AI / Data Science / Digital Officer / Cognitive Capability Officer4
• AI awareness across the org.
• Central coordination of AI movement (preferably from higher echelons)
• Multiple pilots – Jeff Bezos5
• No need for experimentation (of AI projects)
• Take external help
• Customer education (example, a Patient needs to be assured of AI results, a stock investor needs evidence, etc.)
• Privacy and Regulatory compliance (example, who is “reading” your emails; GDPR; )
• Keep an eye on your organization “Tay1” projects or “Gorilla2” projects (especially for B2C companies)
• Simultaneous Multi-pronged objectives:
• Processes (work on internal processes, customer facing and Business objectives) (Example: Pfizer3)
• Size of projects (Low hanging fruits, business-impacting)
• AI talent (train internal, hire talent from market, engage consultancy firms)
1https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist
2https://www.usatoday.com/story/tech/2015/07/01/google-apologizes-after-photos-identify-black-people-as-gorillas/29567465/
3,4https://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/cognitive-technology-adoption-survey.html
5https://www.cnbc.com/2017/05/08/amazon-jeff-bezos-artificial-intelligence-ai-golden-age.html

25. https://www.theinformation.com/articles/where-amazon-finds-and-loses-ai-talent

26. Ref: https://www.kaggle.com/surveys/2017
Obstacles: Kaggle survey on AI state of affairs

27. Who knew
lawn mower
would lead to the
global sports industry,
now worth $620 billion annually?
https://www.weforum.org/agenda/2017/03/5-ways-to-win-ai-workplace/ March 2017

29. Thank you
SK Reddy
www.linkedin.com/in/sk-reddy/