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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 (23rd October, 2019)
X Topic Abstract

Artificial Intelligence allows us to transform work and decision making in healthcare, transportation, retail, insurance, education and more. Every second, 2.5 billion emails are sent every second. Every year, 22 trillion messages are sent just on FB and WhatsApp. And even in complex fields like cancer research, 100,000 articles are written every year. In this age of data, there is an abundance of data but also an abundance of opportunity.
I believe businesses can only win in the age of data, if they train and leverage their data systems to get the most value out of them. In this presentation, I will show you three ways you can infuse AI into your business. I will walk you through how you can extract deep insights from both large and small data sets, to empower smarter business. I will show you how enterprise assistants and insight engines can distill structured and unstructured data through an intuitive NLP interface that makes it easy to query data to generate answers, insights, and trends.

Speaker profile

Angel was the CEO & Founder of Leaders Working, an EdTech company acquired by Bloomberg.

Following Leaders Working's acquisition, Angel worked in Venture Capital, investing and scaling SaaS and NextGen commerce companies before heading west to build and take to market products at Facebook and Google.

Today, Angel works at IBM Watson where he leverages AI technology to develop products that will deliver empathy at scale.

Learn more about Angel's journey at www.angelmontesdeoca.com

X Topic Abstract

Repeatability is the ability to conduct an experiment multiple times and get consistent results. Reproducibility is getting consistent results from different experimental designs. Showing the minute details of your work to a knowledgeable peer and getting his concurrence. How do we incorporate this into AI.

Scientific method consists of three concepts. Repeatability is the ability to conduct an experiment multiple times and get consistent results. Reproducibility is getting consistent results from different experimental designs. Showing the minute details of your work to a knowledgeable peer and getting his concurrence. How do we incorporate this into AI.

X Topic Abstract

Conversational AI is poised to become a standard layer of communication for SME's in the coming years. Larger corporations have already integrated chatbots and AI based voice recognition/response models into many of their customer facing points of interaction.
Thanks to NLP, large corporations have been able to initially field both sales and customer service inquiries with chatbots, thus getting consumers accustomed to expecting some form of AI interaction prior to speaking to an actual human, en masse.
In This Talk I Will Cover The Following:

1. How chatbot adoption has impacted consumer communication expectations
2. The importance of chatbots for SMEs
3. Use cases of chatbots in 2020 for sales and customer service
4. Ways SMEs can differentiate themselves with chatbot integrations

X Topic Abstract

Machine learning has been as a discipline has been the forte of experienced Data Scientists. There were only creators and consumers of Algorithms. But with growth and penetration of use cases combined with the scarcity of talent, the value chain is shifting closer and closer to the end users. While this trend may have its own set back and potential dangers, it is inevitable as ML becomes common place. Enterprises are rediscovering the Analytics organization to enable Citizen Data scientists to bring to scale to Machine Learning. This session looks at the trends, tools and frameworks to maintain the balance between usability and maintenance. ,

X Topic Abstract

Behavioral Science seeks to understand how humans process, absorb, and react to information. Machine learning is all set to revolutionize the application of behavioral science. With the application of both, we are able to test, deliver and evaluate behaviorally informed programs in the most effective and efficient way. This in term likely improves human decision-making.
My talk will consider pulling out examples on this context and show the power of hyper-personalization, nudge theory, etc where machine learning and behavioral science plays pivotal parts.



Our Sponsors

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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


Angel Montesdeoca

Lead Product Manager

IBM


Arghya Mandal

Strategy, AI and Machine Learning practitioner

Deloitte


Srini Nachinarkiniar

Practice Director for Analytics and AI

Wipro


Vijay Nadendla

GLobal Head of Data Science

GLobal Head of Data Science


Bryan Hanley

Head of Artificial Intelligence Applications

Digital Mark 360

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 October 23
Individual(Early Bird)

USD 409

Till September 23
Individual (Standard)

USD 469

Till October 23


Our Testimonial

FAQs

Who can attend Machine Learning and Deep Learning Day in New York?

• 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 New York?

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.