Technology is an industry that eats its young, and while the rest of the world is bathing in AI hype, SAS and our customers view AI as an evolution, not revolution. Regardless of your perspective, those who lead in the global race to dominate AI will rule the world.
A newsflash for some: Weak AI, cognitive technologies and their foundational building blocks in Machine Learning are already pervasive and have been in play for decades. Chances are, your organization is already a player in the AI race and didn't even know it. The buzz around AI today is a result of existing during a critical inflection point where the lowered costs of compute power, digital storage and crowd-sourced learning are making "intelligent" technologies accessible to everyone, not just the elites with the deepest pockets.
SAS has ambitious plans for cognitive technologies in the long run. However, in the near term, we're continuing to make AI's foundational technologies accessible to everyone, enabling customers to leverage Machine Learning and "weak AI" across their businesses.
Join us for this session to learn how others are transforming their organizations together with SAS, and hear about how we're continuing to lead the industry in advanced analytics.
|8:00 am||Registration and Breakfast|
|8:35 am||The Great AI War of 2018|
Steve Holder, Strategy Lead, Analytic Ecosystems, SAS
|9:25 am||Panel Discussion|
Moderated by: Steve Holder, Strategy Lead, Analytic Ecosystems, SAS Canada
Tim Hogarth, VP Innovation Framework and Strategies, TD Bank
Murat Kristal, Director of Masters of Business Analytics Program, Schluich @ York University
Santanu Pal, VP Enterprise Advanced Analytics, CIBC
Jeff Wilts, VP Analytics & Data Services, Mosaic
|10:15 am||Closing Remarks|
|10:20 am||Opportunity to Network with Speakers|
150 King St. West, 27th Floor
While artificial intelligence has become a buzzword in the technology world, SAS, one of the largest data analytics firms, believes the term AI is overhyped and AI adoption is still in the early or even planning stages for most enterprises. In a conversation with BusinessLine, SAS co-founder and CEO James Goodnight talks about how the cloud could take analytics and AI to the next level. ...
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan. We get it, though. You’re still confused about how all these topics – AI, machine learning and deep learning – relate. You’re not alone. And we want to help.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
An Overview of SAS Viya:
SAS Viya is an open, cloud-ready, in-memory architecture that delivers everything you need for fast, accurate analytical results – all of the time. With its fluid, scalable and fault-tolerant processing environment, this resilient architecture addresses the complex analytical chal¬lenges of today with the ability to effortlessly scale into the future. SAS Viya provides:
- A modern, cloud-ready analytics architecture from the analytics market leader.
- A single, open and governed analytics environment with a standardized code base that can incorporate both SAS and other programming languages.
- A uniquely comprehensive and scalable platform for both public and private cloud implementations.