OnDemand

Why should Logical Data Fabric be at the backbone of an organization's data architecture? When the data landscape is fragmented and businesses require advanced analytics for decision making, Logical data fabric provides an agile and governed approach to business analytics and data science.

My presentation will show how to utilize services like AWS Batch, AWS Fargate, Amazon SageMaker, AWS Lambda, and AWS Step Functions to organize scalable deep learning pipelines.

In 2020, I led a committee in Linux Foundation to research a topic around Human-Centered AI. One point is about machine TEACHING, in addition to machine learning. This presentation is to see how this can help in fighting Fraud, Waste and Abuse along with some proven AI techniques.

Jupyter with Python code is a productive way to prepare models, but putting machine learning models into production at scale may require re-building the entire workflow. Using the same interactive tools, but letting a distributed database do the work could get ML models into production in minutes, not months.

With the increasing complexity of graphs, we tend to forget the basic integrity principles. Lie factor is one such principle that gets subconsciously incorporated in the graphs, resulting in false interpretation.

Ask questions on Amazon QuickSight Q and get prompt answers by using ML-powered, natural language query (NLQ) capabilities that empower users to ask questions about data using everyday business language.

This will help entry level / career pivoters break into Data Analytics

Data Analytics plays a critical role in a fast growing company like HyreCar. In this talk, we will share how we built the analytics foundation from scratch, focussing on technology, team makeup, and culture. We will also cover the challenges we overcame and where we are now.

Even when someone has compelling data, it is too often communicated in confusing, overwhelming, or forgettable ways that fail to move an audience or team. But it doesn't have to be that way! Storytelling, emotion-tapping, and other powerful-yet-practical strategies make listeners care, understand, enjoy, remember, share, and act on data.

Eightfold is leveraging career data from over 1 billion people and the latest AI technology to solve the employability problem. Ashutosh can share how data & AI are allowing companies to hire for potential, improve diversity, eliminate unconscious bias in hiring, and explain how this will help companies meet growing talent demands

In fact, the increasingly digitalized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. Despite gratifying achievements have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. Hence, this talk will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice.

Not sure how to network remotely? In this workshop you'll learn how to network with anyone whether you're job searching, looking to get promoted or just want to expand your network...even if you're an introvert.

How can we apply the lessons of the COVID-19 pandemic to the fundraising of the future? In this in-depth analysis of over 1.7 million donor records from thousands of nonprofits combined with coronavirus data, learn how utilizing data overlays can ensure your development team is prepared for any situation.

An invitation to game-changing business leaders and entrepreneurs to bring their higher selves to ideas that create transformation in that thriving space where integrity and innovation meet. Proven framework and process for an approach to creating technology-based products that solve some of the world's pressing challenges will be shared.

Despite several calls to increase gender representation in the workforce disproportionality in hiring, retention, and promotions remain broad in the workforce. This has lowered belonging among women. We expand on research on barriers faced by women in the first year of their STEM careers, and recommend ways in which teams, managers, and allies can help increase belonging among women at work.

While there are many benefits of AI, there are some aspects of AI that deserve closer scrutiny. One such aspect is the potential bias in AI models.

This talk will cover how to get started quickly, and easily with data pipelines that leverage the power of Apache Flink, while being programming-language agnostic and without the typical overhead. Takeaways for attendees will include: - Understanding how to build a basic data pipeline with Flink SQL. - Understand and have clear examples for where they can go from here: what projects and use cases they can apply this new knowledge to (particularly in the ML world). - Understand how to modify and leverage this tool for unique and unusual edge cases.

How to speed up MySQL queries using histograms and indexes

The pandemic re-focused companies on improving operations and empowering employees to do more, and that comes back to giving your team the best chance to succeed. The smart use of data throughout all aspects of the business, and by all teams, has proven to be the antidote to the disruption.

Show ways to reduce costs of your SQL Database on Azure

On this session you will discover what's a Data Lake House, why we need it and how can we implement this solution in Azure Cloud Let's discover the power of having the data on the right hands at the right time with a Data Lake House

How do you fulfill privacy requests without ever seeing user data? This question drove the development of Penumbra, an open-source library for implementing end-to-end encryption in the browser. Immediate use cases include e2e encryption of video and audio streams, secure broadcasting of information, and trustless file systems in the browser.

Building Codeless Pipelines with Apache Pulsar, apache flink, apache nifi and other open source data engineering projects. I will lead data engineers in building their own streaming events.

The CFO role is in a period of evolution, as its responsibilities shift past traditional finance, accounting, and reporting duties and toward a mandate of strategic, forward-thinking leadership.

Deep Learning has facilitated development of many Natural Language models like BERT, GPT-1/2/3. Google has introduced a new model called LaMDA for dialog applications. This seminar will explore the new Language Models and enumerate the risks society faces by them. It will discuss proposed solutions to mitigate these risks.

Given the current state of the market research industry today, what is zero-party data and why do you need it? Learn how DISQO's proprietary zero-party data can take your insights to the next level, while maintaining a direct and transparent relationship with consumers. Uncover how to make smarter decisions based on a complete understanding of your audience.

Customer future value is the most forward looking metric when you want to plan long term strategies for customers. We will discuss how to calculate it using data science and how we would strategize and make action plan according to it. No Coding or data science background required.

DataProdigy is a platform that automates and simplifies the generation of Business Intelligence reports. DataProdigy stays on top of business intelligence platforms to be the playmaker in creating new personalized reports without the need of developing new ones. DataProdigy has a Machine learning and a Big Data Engines that allow to generate personalized report using the existing data.

We are dealing with the Digital Divide problem which has been exasperated during COVID-19 as workplaces and schools have shut down and forced people to work from home. As all entities are working together to solve this complex issue, it's extremely important to keep Digital Equity as a key principle. This requires granular data of broadband access, devices, and digital literacy at the household level. What challenges jurisdictions are facing in collecting the required datasets? What are the various approaches being followed to overcome these challenges?