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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 (21st November, 2019)
X Topic Abstract

Learn how to get started with AI/ML in your business. Before jumping into a project, know what are the key questions to ask about use cases, data, talent, and more. We will discuss best practices and common pitfalls when adopting AI in your company for the first time. We will also discuss how to lead AI/ML teams to implement use cases successfully.

X Topic Abstract

In an effort to make sure you have the right product at the right time in order to maximize profitability and to fully capitalize on demand, organizations are exploring how Machine Learning (ML) models can help them to better optimize inventory management. UiPath is unique in that it allows organizations to drag/drop those ML models directly into process automations for an end-to-end inventory management solution. During this talk, we'll describe the challenge and demo how UiPath is helping organizations deliver positive business outcomes by combining the power of ML with the power of RPA.

Speaker Profile

Dan Bannoura is a seasoned leader within the Customer Success team at UiPath. UiPath is unique in that it has a team of Customer Success Engineers who work alongside its customers throughout their automation journey and guides them to recognize positive business outcomes in the shortest amount of time. Dan and his team have helped the largest companies in the world start their journey and ultimately scale to where they have fully functioning Global Robotic Process Automation Operation Center.

X Topic Abstract

Artificial Intelligence has become pervasive in our everyday life with the launch of self driving cars and augmented reality applications in our smart devices. AI has a great potential to assist the care professionals in diagnosis and assist the clinical decision support systems. AI is also improving consumer experience by providing autonomous contact center solutions and reducing fatigue for care professionals by helping them take on tasks like medical transcribing and converting paper to electronic records. We will go over some of these use cases where AI will enable us to reimagine our healthcare systems and processes to provide better health outcomes at an affordable cost.

X Topic Abstract

A real-business application of analytics in “Improving Customer Experiences with Real-Time Insights”. This session will provide a step by step experiential journey on “How data science is helping IBM to predict the customer experience journey and proactively address the issues, leading to the improvement of Net Promoter Score”. The session would also highlight the importance of using CRISP-DM (Cross Industry Standard Process for Data Mining) and Agile in Data Science projects. The methodology involved consuming historical NPS data; using machine learning and artificial intelligence to identify the most important features and created an algorithm to predict the customer experience.

X Topic Abstract

A real-business application of analytics in “Improving Customer Experiences with Real-Time Insights”. This session will provide a step by step experiential journey on “How data science is helping IBM to predict the customer experience journey and proactively address the issues, leading to the improvement of N et Promoter Score”. The session would also highlight the importance of using CRISP-DM (Cross Industry Standard Process for Data Mining) and Agile in Dat a Science projects. The methodology involved consuming historical NPS data; using machine learning and artificial intelligence to identify the most important features and created an algorithm to predict the customer experience.

X Topic Abstract

a) Business Problem Statement - Value Stream View
b) Deploying and using AI-ML for analytics trend and trace-ability
c) Breaking patterns using AI and Graph database
d) Improving end-user experience with AI

X Topic Abstract

ML and RPA are powerful capabilities by themselves, but the business value recognized is exponentially greater when they work in concert with one another. This talk will cover how you can drag your ML models directly into your RPA workflows and how you can deploy/manage those models within the UiPath Platform for an end-to-end experience. Not only will this talk discuss how this is done, but we’ll also discuss two real world use cases along with a demonstration where you’ll see this integration in action.

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


Neeraj Madan

Data Scientist

IBM


Mohan Udyavar

Head

Wipro Limited


Carlos Lara

Founder and Ceo

Carlos Lara AI


Rama Venky Susarla

Strategic Product Owner/Strategic Program Manager

Micron Technology


Rob Freedman

Senior account executive

UiPath


ShyamDaraboina

Vice President, Methods+Mastery


Daniel Bannoura

Director

UiPath

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

USD 300

Till July 27
Group of three or more(Standard)

USD 349

Till November 21
Individual(Early Bird)

USD 409

Till October 21
Individual (Standard)

USD 469

Till November 21


Our Testimonial

FAQs

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

• 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 Dallas?

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.