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Transforming Business with Intelligent Data
- 2. Senior Program Manager – Data Science Previous experience
- 9. ActionDecision Value Manual process From data to decisions and actions
- 10. TRENDS Data Storage Scarcity Data Storage Abundance Operational Data Operational and Observational Data Highly Modeled Schema Flexible storage, Exploratory Analysis Reporting Insight, Predictions, Actions
- 11. LEGOS
- 12. Trends Data Storage Scarcity Data Storage Abundance Operational Data Operational and Observational Data Highly Modeled Schema Flexible storage, Exploratory Analysis Reporting Insight, Predictions, Actions
- 13. Reactive Proactive People and processes Decision Automation Historical data Predictions Accelerating the speed of business
- 14. Accelerating the speed of business Machine Learning Cloud Big Data
- 15. 20% National Readmission Rate 1 in 5 patients is back in the hospital within 30 days! $26B Total Cost INTELLIGENT APPS ARE CHANGING HEALTHCARE $3.1M Patients Readmitted 75% Preventable Sources:
- 18. Identify issues before they happen Predict rate of re-admission Adjust patient care pathway
- 19. ThyseenKrupp
- 20. Inside the new Microsoft, where lie detection is a killer app • Jennifer Marsman, Principal Developer Ev angelist • Emotive EEG Headset reads brain waves • 14-pronged headset • Machine Learning model to detect lie
- 21. THE FUTURE OF ANALYTICS
- 23. Growth Of “Things” Connected To The Internet During 2008, the number of things connected to the internet exceeded the number of people on earth By 2020 there will be 50 billion things Source: Cisco 2003 500 million 2015 25 billion 2020 50 billion 2010 12.5 billion 2008
- 24. INDUSTRIAL Internet of Things CONSUMER Internet of Things Wearable Phone Appliances Home Machine Car Factory Grid City IOT
- 25. INDUSTRIAL INTERNET INTELLIGENT CITY INTELLIGENT HOSPITAL INTELLIGENT HIGHWAY INTELLIGENT FACTORY WHAT HAPPENS WHEN 50B MACHINES BECOME CONNECTED? Image source: GE
- 26. THE VALUE FROM INTELLIGENT APPS IS HUGE Source: GE - Industrial Internet: Pushing the Boundaries of Minds and Machines The Power of 1 % AVIATION $30B 1% fuel savings POWER GEN $66B 1% fuel savings HEALTH CARE $63B 1% reduction inefficiency RAIL: FREIGHT $27B 1% reduction inefficiency
Hinweis der Redaktion
- 14 years since graduation Tough time to Graduate. Lessons of Perseverance Leadership Innovation
- About 4 years a Mark Andreson said "Software is eating the world". He meant that software is in the fabric of our life, software is everywhere. But there is something magical that is happening right now, "Cloud is eating the software". Software is being delivered in the cloud. When I was doing my graduation I used to freelance, I used to write software application and used to sell it for a few grands. And we used to go around with floppy disc to the client's location to install the SW. If I had to do that now, I would just host the Software on Cloud and let the client access it via web browser. The entire idea of Chromebook is that we essentially just need a web browser to get everything done, as far as computing is concerned. However the “Cloud is just not eating the software, but is eating all the data” By that I mean all the data from mobile devices, IOT sensors, etc. is flowing into the cloud. Let’s have a look at the journey of the data.
- In 1980s majority of world's the data was analog, it existed on tapes, gramophone records, books etc. During 1990s we started digitizing the data by 2000s half the data was digital. Another important trend start emerge during early 2000s, data started to have an address. Fastforward 2015 majority of world’s data is digital and interestingly half of that is Connected data. By 2020 we’ll have 50 Zetabytes of data of connected data. Let me tell you a story, which illustrates power of Data.
- Data is useless, Insights are worth Pennies & Actions are worth Dollars. A TeraByte of data is useless we make sense out of Data. Data is becoming central its no more incidental, it’s a core enterprise assets and it is taken very seriously. Every aspect of its life cycle is closely guarded and carefully structured. Businesses are under-going a big shift. It is no longer retrospective reporting, we want to data to guide us in terms understanding what happened, why it happened, what’s likely to happen in the future and then to act on it. Once you understand the flow of the data you can automate decision making.
- When you look at the big picture there are 3 distinct pieces to it. How do you manage your data which includes capturing it, storing it, access control, tools to query it & analyze it. Train models form it. How do you make decisions, how do you infer insights from the data. Once you have the insights, how do you derive actions from the insights that help you gain competitive advantage.
- Data is now the key strategic business asset. Every device, every customer, every activity – everything that’s happening in the world around us - is producing incredibly rich data that can help us create new experiences, new efficiencies, new business models and even new inventions. Leveraging this data can be the differentiator for your business. For example, IDC estimates companies that are leaders in using data assets to their advantage will capture $1.6 trillion more in business value than those that lag behind. While data is pervasive, actionable intelligence from data is elusive. Our customers want to transform data to intelligent action and reinvent their business processes. To do this they need to more easily analyze massive amounts of data – so they can move from seeing “what happened” and understanding “why it happened” to predicting “what will happen” and ultimately, knowing “what should I do”. Only then can they create the intelligent enterprise.
- Historically storage was expensive. A gigabyte was a lot of data not so long ago. Today storage is cheap. There used to be time when data was entered manually. There was a profession called data entry professional, whose job would to enter data looking at the various physical means of archiving. It’s really difficult to enter terabytes of data. Today the data comes from sensors, IOT device, click steam data, event logs, etc. The volume of data is exploding and its growing exponentially. One of the biggest problems in dealing with data is data management. Historically our tools have been good in dealing with structured data. And not so good in dealing with unstructured data, like imagery, documents, etc. There where times when you had to clean up your data before you store into predefined schematized table and then be able to run queries on top of it. Now days we don’t do it we store data as it arrives and store it, and then based on the need process it, integrate it, query it and derive insights. The tools have become sophisticate enough to store the data in its native format, and be able to process it as the need may be.
- Imagine if I give you pre-currated Lego bigger blocks, you can only do so much with it. Instead if I give you these atomic lego pieces then the possibility it just endless, you can build whatever you want. Data is like lego, in bring a data in a prefabricate schema, then you can also asking questions or draw insights from it that you thought you would get. Whereas if the data is stored in its raw format, you could now start asking question that you never thought of when you started collecting this data.
- All this is being done because we don’t want to use data for reporting, rather we want to use the data to draw insights, make future predictions and take informative actions.
- Data is pervasive, yet insights are elusive. According to Gartner, more than 85 percent of the data available to organizations is automatically generated – from every device, sensor, upload, tweet, purchase, shipment and keystroke. Yet many organizations experience challenges as they try to draw actionable insights from a world of big data… Reactively seeking small patterns and insights from data, and then having the ability to act on it. Shifting from the analysis of what happened in the past to predicting what might happen in the future the key to shaping new business outcomes. And ultimately moving from manual, people-heavy decision making to automated machine-assisted decisions that accelerate business and aid competitive advantage.
- The rise of machine learning and advanced analytics combined with the power of the cloud & its unlimited capacity for data storage/computation marks a unique point in history…an opportunity for organizations to automate and innovate with agility and increase their speed of business, enabling them to shift from… Looking at historical data to understand what happened and capturing real time data to understand why it happened. To in the future harnessing predictive analytics to understand what will happen. And finally using prescriptive analytics to identify what actions should be taken so businesses can automate outcomes.
- One of the industries that will reap immense benefits from Intelligent data would be Healthcare. Incoming data from wearable device will beam data which would be leveraged by health professional and care giver to proactively address health issues, and in situation prevent the onset of many medical issues.
- Let me share one such story, Darthmouth Hitchcock a premier medical center in US which is experiment with a similar idea.
- ThyseenKrupp is a leading global manufacturer of Elevators. They have around 1.1 million elevators worldwide. They are taking preventive maintenance to predictive maintenance and even further to pre-emptive maintenance.
- EEG headset
- Hardware is being more like software. Hardware is being provisioned via software. Software is being delivered as services on the cloud. FB, Twitter, Instagram, etc. And Data is becoming more intelligent. I want to leave you with this story which captures the essence of what we talked about today. Brandyn Bayes, Director of IT at the age of 19 yrs