fbpx

Day 1 - 17 March 2020

10:00AM

Pete Trainor

CEO

Vala Health

Associated Talks:

10:00AM - Day 2

View AI & Big Data Technologies: Chairs Welcome and Opening Comments

View Full Info

AI & Big Data Technologies: Chairs Welcome and Opening Comments

An analyst will give an overview of the current status of industry markets where innovations are disrupting the landscape  

. Pete Trainor, CEO, Vala Health

10:20AM

Senior Representative, Mathworks

.

.

Associated Talks:

10:20AM - Day 1

View Case Study: MathWorks

View Full Info

Case Study: MathWorks

. Senior Representative, Mathworks, ., .

10:50AM

AI and Big Data Innovation 1

11:10AM

AI and Big Data Innovation 2

11:30AM

Networking Break

11:50AM

Case Study: Data Management for successful AI

12:20PM

Senior Representative, Wirecard

.

.

Associated Talks:

12:20PM - Day 1

View Case Study: Wirecard

View Full Info

Case Study: Wirecard

. Senior Representative, Wirecard, ., .

12:40PM

AI and Big Data Innovation 3

01:00PM

Case Study: Application of AI

01:30PM

Networking Break

02:30PM

Ashish Sharma

Director of Business Development

RavenPack

Associated Talks:

02:30PM - Day 1

View Case Study: Ravenpack

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

Case Study: Ravenpack

. Ashish Sharma, Director of Business Development, RavenPack

03:00PM

AI and Big Data Innovation 4

03:20PM

AI and Big Data Innovation 5

03:40PM

AI and Big Data Innovation 6

04:20PM

Senior Representative, DataForest

.

.

Associated Talks:

04:20PM - Day 1

View AI and Big Data Innovation: DataForest

View Full Info

AI and Big Data Innovation: DataForest

. Senior Representative, DataForest, ., .

04:30PM

Brad Cordova

CEO

Canotic

Associated Talks:

04:30PM - Day 1

View Machine Learning is not the software you know

View Full Info

Machine Learning is not the software you know

Everyone talks about artificial intelligence revolutionizing the world as we know it. Yet all we seem to see are fairly basic bots: an Alexa that only understands half of what you say and computer vision applications that can’t tell basic things apart .

Why is this?

To answer this question, let’s look at what makes machine learning different from software. The latter is—in essence—a set of very clever rules, that exist independent of the inputs, written on top of assemblers and compilers. None of these features exist for ML: What matters is the training data, and the quality of how it is structured and labeled. The labelling of the data is the programming, and right now it is the single biggest bottleneck to making AI deliver on its promise.

. Brad Cordova, CEO, Canotic

04:40PM

Senior Representative, The Data Analysis Bureau

.

.

Associated Talks:

04:40PM - Day 1

View AI and Big Data Innovation: The Data Analysis Bureau

View Full Info

AI and Big Data Innovation: The Data Analysis Bureau

. Senior Representative, The Data Analysis Bureau, ., .

04:50PM

Senior Representative, Smartia

.

.

Associated Talks:

04:50PM - Day 1

View AI and Big Data Innovation: smartia

View Full Info

AI and Big Data Innovation: smartia

. Senior Representative, Smartia, ., .

05:00PM

Sessions Close

Powered by WishList Member - Membership Software