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Overview of the event

Machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data, without being explicitly programmed.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation.



Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule

Machine learning and Deep Learning Day (25th October, 2019)
X Topic Abstract

How to transform a traditional organisation to become more AI centric. I’ll explain what Deloitte has done to enable this, how we’ve built a team, what we’ve done to enable the team to learn and grow and how we are working with other businesses to truly create a collaborative AI centric organisation.

Speaker profile

Wessel is a Senior Manager with more than 8 years’ experience in data and analytics. He is part of Deloitte Analytics, a cross-functional team with a focus on embedding data and analytics across the firm. He runs the Analytical Insight competency area with a focus on predictive and advanced analytics including Credit Analytics, Machine Learning, Segmentation, Forecasting, Cognitive Analytics, Artificial Intelligence, Rapid Prototyping and Visualisation.
He is innovative, results orientated and thrives on solving complex problems. He has great leadership skills, cares deeply about the people that works with him and has a desire to pass on knowledge enabling his team members to grow professionally.
Wessel values relationships and believes that any company is only as good as the employees and culture within the company. In his free time Wessel enjoys sports, spending time with family and running marathons.


Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at contact@1point21gws.com, naveen@1point21gws.info

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Our Speakers


Wessel Oosthuizen

Senior Manager

AI Co-Lead


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Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

ZAR 4000

Till July 27
Group of three or more(Standard)

ZAR 4500

Till October 25
Individual(Early Bird)

ZAR 6000

Till September 25
Individual (Standard)

ZAR 7200

Till October 25


To Register Via Eventbrite

Our Testimonial

FAQs

Who can attend Machine learning and Deep Learning Day in Johannesburg?

• Data Engineers/Developers / Scientists
• Analytics Professionals
• Startup Professionals
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors

And last but not the least……….
Anyone interested in Machine Learning & thrives to make the future developed and better

Why to attend Machine learning and Deep Learning Day in Johannesburg?

Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.

What will you learn about?

Detecting where underlying problems and frictions exist in your organisation that will be alleviated by Machine learning technologies. Using Machine learning as a tool for innovation across your organisation

Are there any prerequisites to attend this program?

No

Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.