IDEAS: Debunks the Myths of Crypto and Blockchain
This webinar does away with all the jargon, and debunks the myths surrounding ‘crypto’, bitcoin, decentralized finance, and more.
IDEAS: Operationalizing the Machine Learning Pipeline
In this talk, we’ll walk through an MLOps pipeline that automates the typical procedures used by ML Practitioners, namely the CRISP-DM process.
Digital Assistants in Financial Services
Financial services industry is at a tipping point—either disrupt or get disrupted. As start-ups and financial/technology firms entice new and changing customers …
Revealing Your Business’ Winning Ideas with Data Science & Testing
In this seminar we will cover the important considerations that go into business testing, including specific examples and issues facing different industries including retail, social networks, ride-sharing, and financial services.
Automating Production Level Machine Learning on AWS
Machine Learning (ML) has revolutionized how we’ve solved business problems over the last decade. The ability to collect and store limitless data, coupled with advancements in computing and networking, has led to the use of Machine Learning in many business verticals.
Post-COVID Transformations
What will businesses need to transform and support the needs of their customers in the post-COVID economies. How to identify their new state and how to get there through strategy, governance, planning and technology.
Adaptive Risk Management: Emerging Technologies for Enterprise Resilience
How can Fourth Industrial Revolution technologies (AI, Blockchain, AR/VR, IoT… you know the drill…) help businesses bounce back through agility of response via reconfigurable work processes and workplaces? What will the “new normal” look like?
Transforming E-Governance through Data Science
This talk will cover various use cases where different concepts of data science have been applied and can be applied for solution development in near future.
Automated text mining, latent class analysis, and multi-dimensional scaling
Today it is a common practice for data analysts to extract recurring terms and phrases from unstructured, textual data…
How Security Tokens change businesses forever
The presentation is designed for all levels of knowledge, from basic principles of Blockchain, to expert developers and all interested parties…
Data and AI For COVID-19
As the COVID-19 pandemic sweeps the globe, big data and AI have emerged as crucial tools for everything…
Unstructured Data: Predicting Consumer Buying Behavior
All over the globe the consumer is the king. Every business owners ranging from small and medium scale enterprises (SME) to the very big business…
Machine Learning Pipelines
Learn to create scalable pipelines for machine learning data preprocessing, labeling, training, inference , re-training and monitoring .
Knowledge Graphs: The Who, What, Where, When, Why and How
This webinar will speak to what knowledge graphs ‘mean’, in various communities and corporations, and what kinds of problems can be attacked using knowledge graphs.
Transition to an AI driven role
Have you wondered what AI will mean in the future to your role and what it will mean for you……
Smart Chatbot in an E-Commerce Application
Welcome to the age of hyper-personalization, which is shaping up to be the biggest breakthrough in the e-Commerce industry since mobile.
AI, Emerging Tech and the Law
In this session, we’ll be discussing the legal implications of the latest emerging technologies.
Introducing Spark NLP: State of the art NLP at Scale
The talk will demonstrate using these algorithms to build commonly used pipelines, using PySpark on notebooks that will be made publicly available after the talk.
Data Strategy Essentials for Enterprise
Data is one of most important assets in today’s economy alongside product, services and people for businesses…
Regulation vs Emerging Technology, who wins?
The goal is to help entrepreneurs, intrapreneurs, and innovators navigate the regulatory environment.
Web Scraping with requests, Beautiful Soup & Yelp’s API
This webinar will focus on web scraping basics using open data portals, requests, BeautifulSoup, and the Yelp API.
The Third Wave of AI: Chatbots with a Brain
This talk will explain how a cognitive architecture approach can overcome many of these limitations and provide a much more intelligent platform for conversation agent. A practical example of this ‘third wave’ technology will be demonstrated.
Applying structured + unstructured data in predictive analytics
This speech is going to address the challenge by transforming a text review into numerical variables and then including them with structured data into the predictive model.
The State of Blockchain and Cryptocurrencies
The webinar will provide the (objective) investor perspective on the state of blockchains and cryptocurrencies, using the scientific method.
Growth hacking your Ideation
Do you have a good idea?How to transform this idea into a startup?The lecturer wants to offer the webinar attendees several angles and actionable insights to transform an idea or a research project into a startup.
Digital Transformation Trend 2019
Introduction to Digital Transformation;What is new in it?Top Technologies & deep dive……
Machine learning measurement and validation in the real world
In this deeply technical and practical discussion, you will learn the practices specific to the best-in-class model performance and validation practices used by financial services practitioners ……
Convergence of Data Science & Blockchain and Top Skills to Kickstart your Career in Them
As our world is now measured, mapped, and recorded in digital bits, Data is revolutionizing business & technologies ……
Kick starting ML with Fun and Frolic
This Webinar is an attempt to get a passionate beginner started on Machine Learning.
How AI and Decentralization Co-exist to Push Forward to The Next Revolution?
In this article, AI and decentralization will be explored to answer how they co-exist to push forward to the next revolution.
Writing your First Testing Suite with pytest for your Machine Learning Model
We’ve all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests…..
How to Succeed With AI projects
In this discussion, we will explore the best practices for successful AI project launch and provide specific guidance on how to successfully implement AI projects within your organization.
