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- 1. Difference between machine learning and AI: If it is written in Python, it’s probably machine learning Source: Mat Veloso, Twitter post, November 22, 2018, 5:25 p.m., https://twitter.com/matvelloso/status/1065778379612282885?lang=en
- 2. Source: Mat Veloso, Twitter post, November 22, 2018, 5:25 p.m., https://twitter.com/matvelloso/status/1065778379612282885?lang=en If it is written in PowerPoint, it’s probably AI
- 4. Artificial Intelligence will not replace managers. But managers who use Artificial Intelligence will replace those who don’t. 4IBM Analytics / © 2018 IBM Corporation
- 5. 5 All it takes is a text to anonymously report a crime Repo Cyber helps potential informants break their silence with an easy-to-use, smart city app that protects users’ identities. Supported by IBM Cloud infrastructure, the Repo Cyber app increased citizen reports in one Israeli city by more than 450% while helping police respond more quickly.Data and AI / © 2019 IBM Corporation >450% boost in reports of crimes and other concerns ~30% rise in service levels across city departments “Within a short period, [the IBM team] helped us set up our app and expand its capabilities with minimal risk to our company.” — Zeev Mindali, Chief Technology Officer and Cofounder, IBM Business Partner Repo Cyber Ltd. “ Include a quote if one is available, we can always add this at closeout. ” -- Include quote author’s name and title “ Include a quote if one is available, we can always add this at closeout. ” -- Include quote author’s name and title Solution IBM Watson Visual Recognition IBM Watson Knowledge Studio IBM Blockchain Platform IBM Identity and Access Management Repo Cyber Ltd. Customer Success Story
- 6. 6 Organize data to create a business-ready analytics foundation. Organize Transforms the responsiveness of public services with big data analytics of citizens’ feedback Jakarta Smart City Case Study Challenge Seeking smarter ways to deliver public services through technology, Jakarta Smart City (JSC) wanted to identify areas for improvement by automatically collecting and analyzing feedback from citizens. “ IBM was one of the few vendors that could answer all our questions and had a truly comprehensive vision. ” -Diory Paulus Head of Data & Analytics JSC has already started using the big data platform to streamline the way it handles citizens’ feedback and provide new insight into the most important topics.
- 7. 7 Organize data to create a business-ready analytics foundation. Organize Eliminating welfare fraud and delivering the right benefits to the citizens who need them the most Government of Odisha Case Study Challenge Economic assistance provides a safety net for vulnerable citizens. How could the Government of Odisha ensure that it was allocating benefits to the people who needed them the most? “We are ensuring that deserving citizens get the help they need, while keeping tighter control over costs and making better use of taxpayer money.” -Spokesperson Government of Odisha The Government of Odisha is cracking down on welfare fraud, using IBM Analytics solutions to identify approximately 500,000 wrongful benefits claimants. With newfound visibility into which citizens truly qualify for social assistance, the organization can ensure that vital resources are distributed fairly and taxpayers’ money is better utilized.
- 8. 8 Cleaning up the streets with an AI-powered chatbot The London Borough of Redbridge wanted to simplify communication with residents regarding rubbish collection. The borough launched an AI-powered chatbot that could answer straight-forward questions and allowed users to find out when their holiday bin collection date was scheduled. Data and AI / © 2019 IBM Corporation 25% lower call volumes ~95% satisfaction rate “With EscalateAI and Watson, we can be far more proactive and stay ahead of the data trends and as such demand.” — Emeran Saigol, Head of Change, London Borough of Redbridge “ Include a quote if one is available, we can always add this at closeout. ” -- Include quote author’s name and title “ Include a quote if one is available, we can always add this at closeout. ” -- Include quote author’s name and title London Borough of Redbridge Customer Success Story
- 9. 9 • Most times, it’s the simplest of ideas, that make a big impact. Keep it Simple Keep it Smart For the machine to Predict. Automate. Optimize https://www.youtube.com/watch?v=ZMlF5_CSQkg
- 10. 10
Editor's Notes
- There is a difference between machine learning and AI. If it is written in Python, it is probably machine learning. All right. You with me? Important to remember this. It's a critical distinction…
- If it is written in PowerPoint, then it is probably AI. Okay. It is a critical distinction, you have to remember that. It will be a key part of this whole session. Look, that's obviously a joke. But I like it because AI is a bit of a loaded term. You read about it a lot, you hear about it a lot, you see it written in A LOT of PowerPoint presentations. But, it’s hard to figure out what’s true and what’s not true. AI tends to be portrayed as some mystical thing – this magical black box that will do these incredible things. But the reality is: AI is not magic.
- So, what is AI, really? It’s ultimately about three things: predictions, automation, and optimizing your time. Predictions: Companies want to predict what’s going to happen in their business. Automation: There's value for companies being able to automate the process of predicting, of getting analytic insights, allowing employees to focus on high value work. Optimizing the time that an organization or an individual spends on anything. Now, that doesn’t mean it doesn’t require any effort on your side, but we believe we have a responsibility to help you adopt AI – for your success, and the success of your business.
- According to the International Data Corporation (IDC), worldwide spending on smart city technologies is forecast to reach US$80 billion in 2018, of which US$22 billion will be spent in the US alone. AI is almost a buzzword, a kind of magic formula, based on some ‘intelligent agents’ and sophisticated algorithms that make decisions and take action for humans. But AI will never replace human validation or effective governance on the ground. I am going to take you through a few real life examples of how some cities around the world have used AI and ML to become a smart and sustainable place.
- All it takes is a text to anonymously report a crime IBM Business Partner Repo Cyber helps potential informants break their silence with an easy-to-use, smart city app that protects users’ identities. The Repo Cyber app increased citizen reports in one Israeli city by more than 450 percent while helping police respond more quickly to complaints. Repo Cyber Ltd. needed a highly secure, scalable cloud platform to quickly build and deploy an AI-enhanced app that would allow individuals to anonymously report crimes and other concerns to authorities. With just a few taps on their phone, individuals could anonymously send law enforcement and other government agencies critical, timely details about goings-on in their cities.
- Good Governance. Good Govt. As part of a broader big data initiative, JSC has built a central platform that gathers feedback from mobile and social media channels, and maps it against other data to identify problem hotspots. In Jakarta, a district of 10 million people is divided into five cities, 44 sub-districts, and 267 villages. The city government receives an average of 1,400 messages per day via its custom-built Qlue mobile app, which allows users to submit feedback about public services. On top of this, citizens send an average of 130 SMS messages per day to the governor’s mobile phone, and many more via other channels such as email and Twitter. The danger with any analytics project is that if you put garbage in, you will get garbage out. And this is especially difficult to guard against when the datasets are so large. Predictive modelling, and Text Analytics for categorization and sentiment analysis of unstructured text did the trick.
- Eliminating welfare fraud and delivering the right benefits to the citizens who need them the most Economic assistance provides a safety net for vulnerable citizens. How could the Government of Odisha ensure that it was allocating benefits to the people who needed them the most? The Government of Odisha is cracking down on welfare fraud, using IBM Analytics solutions to identify approximately 500,000 wrongful benefits claimants. With newfound visibility into which citizens truly qualify for social assistance, the organization can ensure that vital resources are distributed fairly and taxpayers’ money is better utilized. With hundreds of thousands of cases to manage every year, the Department found it challenging to ensure that its benefits were being directed to citizens who were truly in need.
- Cleaning up the streets with an AI-powered chatbot Working with IBM Business Partner EscalateAI Ltd., the London Borough of Redbridge launched its new Binbot, powered by IBM® Watson® technology. The chatbot can answer questions related to routine rubbish collections and empowers the public to easily report dumped garbage and other nuisances. The borough launched an AI-powered chatbot that could answer straightforward questions and allowed users to find out when their holiday bin collection date was scheduled. Every year in the weeks following the Christmas holiday, the center would experience a spike in call volumes related to garbage collection. Given the marked increase in waste and recycling during this period, the borough was forced to increase the frequency of its collection efforts, which often changed the pickup dates for residential neighbourhoods. Well we don’t have that problem, do we! The team trained the solution with over 3,000 images of rubbish, enabling it to identify commonly dumped items. Now residents can use their cell phone to take a picture of public waste, such as a rogue mattress, loose bin bags or an abandoned vehicle, and notify the borough by uploading the image through the chatbot.