MSU-NJBDA-Jay-Pederson
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This document discusses how cognitive systems and machine learning will help harness big data and the Internet of Things. It summarizes how smartphones and sensors are generating vast amounts of data, and new software platforms and machine learning are helping analyze this data. The future will see billions more connected devices optimized by machine learning to make sense of the data generated.
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Web Trends Brandon Hall
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[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...DataScienceConferenc1
In this insightful talk, we'll embark on a journey from the origins of programming in 1883 and the conceptualization of AI in the 1950s, to the current explosion of AI applications reshaping our world. We'll unravel why AI has surged to prominence in the last decade, driven by unprecedented data generation and significant hardware advancements. With examples ranging from individual email filtering to complex supply chain optimizations, we'll explore AI's pervasive impact across various sectors including finance, manufacturing, healthcare, and media. The talk will address the challenges of AI implementation, such as the high cost of AI teams and the quest for universally applicable models, while highlighting the promising horizon of no-code AI platforms democratizing access. Furthermore, we'll delve into the ethical dimensions of AI, from biases to privacy concerns, and the pressing question of AI's potential to replace human roles. Lastly, we'll discuss the transformative potential of language models and generative AI, underscoring the importance of understanding and integrating AI into our lives and businesses for a future that's both scalable and sustainable.Chatbots in 2017 -- Ithaca Talk Dec 6
Chatbots are growing in popularity as developers face the
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insights on what is possible today and in the near future with chatbots.
Issues Covered: Amazon Alexa, Facebook Messenger Chatbots, Alan
Turing, and much more.
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MSU-NJBDA-Jay-Pederson
- 1. Making sense of it all How Cognitive Systems and Machine Learning will help the next generation harness Big Data and the Internet of Things Jay Pederson, Software Strategy Leader Micro Strategies, Inc.
- 2. Who am I?
- 3. Family Photo
- 5. Seattle
- 6. IBM - SVL
- 7. (2002)
- 10. iPhone (2007)
- 13. Shenzen China
- 15. ARM Chips
- 16. Sensors
- 17. Sensors Smartphones do more than PCs
- 21. “Software is eating the World”
- 23. AWS (2006)
- 24. Netflix (1997)
- 25. Netflix (1997)
- 27. 7.2 Trillion Messages in 2014 with just 30 Engineers
- 28. 7.5 Trillion Global SMS Messages in 2014
- 29. Sold to Facebook for $21.8 Billion Still only 55 employees
- 31. Billions of Devices New Software Platforms Hyperscale Infrastructure
- 32. Data
- 33. BIG DATA
- 34. Tools
- 36. One Word Singular Big Red Logo BI Vendor Founded in 1989 Two Words Plural Purple/Blue Logo Techology Solutions (including BI) Founded in 1983
- 40. Real Time Data Integration Platform
- 42. (2006)
- 43. (2014)
- 44. Cognitive
- 47. Machine Learning
- 48. Gather Data
- 50. Train the system
- 51. So it can answer new Questions you’ve never asked it before
- 52. Netflix
- 56. Photos searching
- 58. Machine Learning is becoming accessible
- 64. Bringing it all together
- 66. Built on SmartPhones and sensors
- 67. Powered by Data
- 71. The future is already here — it's just not very evenly distributed. - William Gibson
- 72. Thank you Jay Pederson, Software Strategy Leader Micro Strategies, Inc. jpederson@microstrat.com
- 73. About Micro Strategies, Inc. • 2 Locations – Parsippany, NJ – Malvern, PA • 140 Employees – 200+ Certifications • 95% Customer Satisfaction Rating www.microstrat.com 888-467-6588 Thank you IBM Worldwide PureData for Analytics Partner of the Year 2015
Editor's Notes
- Streaming in 2007
- Streaming in 2007
- Streaming in 2007