AI for the Enterprise

Tuesday, October 25, 2022

- PDT
PRO Workshop (AI): Product Led Growth: A new paradigm shift in Data Science and Product Manager Collaboration
Kunal Khadilkar
Kunal Khadilkar
Adobe Photoshop, Data Scientist

Data Science in industry requires close collaboration with Qual Researchers, Engineers and Product Managers to drive metrics within the product and build personalized in app experiences. In recent times, Product Led Growth (PLG) initiatives has resulted in a positive shift in working paradigm between Product Managers and Data Scientists. In this talk, I will begin with PLG, what it means and the impacts it has in almost all the big tech products and services. I will share few algorithms, operating models for successful PLG motions in large tech companies. I will also go over how modern user segmentation requires data skills and subject matter expertise, along with talking about how it gets deployed for personalization use cases. 

Wednesday, October 26, 2022

- PDT
PRO TALK (AI): ML Drift Monitoring : What to Observe, How to Analyze & When to Act
Kumaran Ponnambalam
Kumaran Ponnambalam
Cisco, Principal Engineer

Deploying a new ML model in production successfully is a great achievement, but also is the beginning of a persistent challenge to keep them performing at expected levels. Models in product will drift and decay, and the value provided by them to the business will drop. ML drift monitoring is a challenging tasks, from identifying the right data to collect, the right metrics to compute, the right trends to analyze and the right actions to take. This session will explore the process of model drift monitoring, from model instrumentation to determining the next-best-action. Real life challenges will be explored and best practices and recommendations will be discussed. 

- PDT
PRO TALK (AI): Data Ecosystem a Stepping Stone for Decarbonization of Operation Industry

Climate change is possibly one of the most complex and challenging issues on earth. On the other hand, manufacturing companies often find themselves in the crosswind of it. Oil and gas, mining, chemical, cement, energy, and utility sectors are responsible for more than 50% of the industrial GHG emissions. The changes they are bringing into their operations are not enough to address the issue. New initiatives for carbon abetment are not showing any visible improvement in reducing GHG levels in the environment.

In this session, we will analyze how data ecosystems such as LiDAR, remote-sensing data, IT, and OT data pertinent to these manufacturing companies can help them to track/measure, trace and mitigate excess emission issues for their operations. We will also explore how advanced AI techniques such as deep learning, and reinforcement learning techniques can be used effectively to find an optimal solution for the above-mentioned problem/s with real-life examples. 

Thursday, October 27, 2022

- PDT
OPEN TALK (AI): Operationalizing AI with a Shift from Research to Product Orientation
Yotam Oren
Yotam Oren
Mona, CEO & Cofounder

Many AI programs fail to deliver sustained value despite great research, due to insufficient operational tools, processes and practices. These days, more and more data science teams are going through a major shift, from research orientation, to product orientation. Key factors to successfully transition to a product-oriented approach to AI include empowering data scientists to take end to end accountability for model performance, and going beyond the model - gaining a granular understanding of the behavior of the entire AI-driven process. In this talk, Yotam will discuss the importance of empowering data science teams to successfully make the transition from research oriented to product oriented. 

- PDT
OPEN TALK (AI): Conversational AI Solutions for the Metaverse of Work
Samuel Eniojukan
Samuel Eniojukan
VoiceWorx.ai, Chief Technology Officer

Is your enterprise ready to engage its customers and employees in new immersive experiences powered by web3 and the Metaverse. With Facebook's Horizons and Microsoft's Teams making significant product investments into creating underlying Metaverse Platforms for enterprises to launch both employee and customer-facing experiences, organizations would need tailored conversational strategies and specialized tools to drive effective engagement on these evolving Metaverse platforms . This session will explore the critical role of Conversational AI technologies in creating effective Metaverse solutions and experiences, and also address the key considerations for conversational AI in applications of Metaverse technologies for improving work productivity, deploying interactive learning environments, and powering e-commerce. 

Tuesday, November 1, 2022

- PDT
[#VIRTUAL] PRO Workshop (AI): Product Led Growth: A new paradigm shift in Data Science and Product Manager Collaboration
Join on Hopin
Kunal Khadilkar
Kunal Khadilkar
Adobe Photoshop, Data Scientist

Data Science in industry requires close collaboration with Qual Researchers, Engineers and Product Managers to drive metrics within the product and build personalized in app experiences. In recent times, Product Led Growth (PLG) initiatives has resulted in a positive shift in working paradigm between Product Managers and Data Scientists. In this talk, I will begin with PLG, what it means and the impacts it has in almost all the big tech products and services. I will share few algorithms, operating models for successful PLG motions in large tech companies. I will also go over how modern user segmentation requires data skills and subject matter expertise, along with talking about how it gets deployed for personalization use cases. 

Wednesday, November 2, 2022

- PDT
[#VIRTUAL] PRO TALK (AI): ML Drift Monitoring : What to Observe, How to Analyze & When to Act
Join on Hopin
Kumaran Ponnambalam
Kumaran Ponnambalam
Cisco, Principal Engineer

Deploying a new ML model in production successfully is a great achievement, but also is the beginning of a persistent challenge to keep them performing at expected levels. Models in product will drift and decay, and the value provided by them to the business will drop. ML drift monitoring is a challenging tasks, from identifying the right data to collect, the right metrics to compute, the right trends to analyze and the right actions to take. This session will explore the process of model drift monitoring, from model instrumentation to determining the next-best-action. Real life challenges will be explored and best practices and recommendations will be discussed. 

- PDT
[#VIRTUAL] PRO TALK (AI): Data Ecosystem a Stepping Stone for Decarbonization of Operation Industry
Join on Hopin

Climate change is possibly one of the most complex and challenging issues on earth. On the other hand, manufacturing companies often find themselves in the crosswind of it. Oil and gas, mining, chemical, cement, energy, and utility sectors are responsible for more than 50% of the industrial GHG emissions. The changes they are bringing into their operations are not enough to address the issue. New initiatives for carbon abetment are not showing any visible improvement in reducing GHG levels in the environment.

In this session, we will analyze how data ecosystems such as LiDAR, remote-sensing data, IT, and OT data pertinent to these manufacturing companies can help them to track/measure, trace and mitigate excess emission issues for their operations. We will also explore how advanced AI techniques such as deep learning, and reinforcement learning techniques can be used effectively to find an optimal solution for the above-mentioned problem/s with real-life examples. 

- PDT
[#VIRTUAL] PRO Workshop (AI): Optimizing business problems with AI based business optimizers
Join on Hopin
Rishiraj Anand
Rishiraj Anand
Red hat, Senior Software Engineer

Modern business problems require modern solutions. While AI as we know today can take decisions based on training ML models, there is a dependency on the historical data. Business optimizers can help you solve most of the problems that are relevant in modern business. For example, minimize fuel consumption, minimize driving time, minimize required vehicles and many similar problems are directly concerned with an online delivery platform. Optaplanner Is one such business optimizer tool that can help business people to take these business critical decisions keeping business constraints into account.

The session will enlighten the audience about the use cases and relevance of business optimizers in modern industry. We will start with what business optimizers are and how they are integrated into your product. We will also cover various other use cases where tools combined with other open source tools like rule language will help all stakeholders in business to take business critical decisions. 

- PDT
[#VIRTUAL] OPEN TALK (AI): It’s an AI Product Manager’s Job to Help an Organization Succeed with Predictive Machine Learning
Join on Hopin
Paul Ortchanian
Paul Ortchanian
Bain Public, Founder, CEO, Head of Product, Data and Strategy

In short, AI is a lifecycle that requires the integration of data, machine learning models, and the software around it. It covers everything from scoping and designing to building and testing all the way through to deployment — and eventually requires frequent monitoring. Product managers need to ensure that data scientists are delivering results in efficient ways so business counterparts can understand, interpret, and use it to learn from. This includes everything from the definition of the problem, the coverage and quality of the data set and its analysis, to the presentation of results and the follow-up. 

- PDT
[#VIRTUAL] OPEN TALK (AI): Building Enterprise-Grade Help Desk Bots For Microsoft Teams using Azure Communications Services
Join on Hopin
Prashant G Bhoyar
Prashant G Bhoyar
AIS, Cloud Solution Architect

Microsoft's CEO Satya Nadella has said: "Human Language is the new UI layer, bots are like new application". As more and more bots are getting popular in homes and enterprises, the demand for custom bots is increasing at rapid space.

Azure Communication Services is a cloud-based communications service that lets you add voice, video, chat, and telephony to your apps.

The Microsoft Bot framework is a comprehensive open-source offering that we can use to build and deploy high-quality bots.

Microsoft Cognitive Services let you build apps with powerful algorithms to see, hear, speak, understand and interpret our needs using natural methods of communication, with just a few lines of code. Easily add intelligent features – such as emotion and sentiment detection, vision and speech recognition, language understanding, knowledge, and search – into your app, across devices and platforms such as iOS, Android, and Windows, keep improving and are easy to set up.

In this demo-driven session, we will cover how to build the enterprise-grade intelligent bots in using Microsoft Bot Framework, Cognitive Services, and Azure Communication Services and deploy in Microsoft Teams and other platforms like SharePoint, Public-Facing Web Sites, etc 

- PDT
[#VIRTUAL] OPEN TALK (AI): The Enterprise Ready Feature Store: Scaling your Feature Store for Real-time AI/ML
Join on Hopin
Nava Levy
Nava Levy
Redis, AI/ML Developer Advocate

No longer considered a new concept, ML Feature Stores have existed for several years now, becoming the cornerstone of MLOps platforms. Today, with the rise of Real-time AI and the wide span of AI/ML use cases they enable, It's no wonder then that some companies are already outgrowing their existing Feature Stores. This talk is both for those who are new to Feature Stores and those looking to scale or upgrade their existing implementation. It will explore how to make sure your Feature Store is both future proof and enterprise-ready across supported ML feature types, advanced functionalities as well as infrastructure and operational considerations required to cost-effectively deliver real-time AI/ML use cases with low latency at scale. This talk will cover a range of approaches including building your own feature store, using open source products such as Feast of Feathr, or opting for a commercial Feature Store implementation. Each option will be considered also in the context of the rise of real-time AI and the specific challenges that it creates. 

Thursday, November 3, 2022

- PDT
[#VIRTUAL] PRO TALK (AI): Leveraging Automated Machine Learning to Enable Anyone to Develop Machine Learning Solutions
Join on Hopin
Hugo Barona
Hugo Barona
Ergo, Cloud Solution Architect

Nowadays, several business owners know that leveraging Artificial Intelligence capabilities, on their systems and applications, can enable their businesses to achieve better results. But building Artificial Intelligence solutions may be a time-consuming and complex process, so consequently, some of these people give up of building such solutions, since they or their team do not have the expertise and capacity required, or sometimes they end-up paying to third-party companies to build these solutions and as a consequence, they end-up doing a significant investment on building these solutions. Azure Automated Machile Learning is the solution to enable anyone to build the Artificial Intelligence and Machine Learning solutions at low cost and with the best quality possible. 

- PDT
[#VIRTUAL] OPEN TALK (AI): Operationalizing AI with a Shift from Research to Product Orientation
Join on Hopin
Yotam Oren
Yotam Oren
Mona, CEO & Cofounder

Many AI programs fail to deliver sustained value despite great research, due to insufficient operational tools, processes and practices. These days, more and more data science teams are going through a major shift, from research orientation, to product orientation. Key factors to successfully transition to a product-oriented approach to AI include empowering data scientists to take end to end accountability for model performance, and going beyond the model - gaining a granular understanding of the behavior of the entire AI-driven process. In this talk, Yotam will discuss the importance of empowering data science teams to successfully make the transition from research oriented to product oriented. 

- PDT
[#VIRTUAL] OPEN TALK (AI): Conversational AI Solutions for the Metaverse of Work
Join on Hopin
Samuel Eniojukan
Samuel Eniojukan
VoiceWorx.ai, Chief Technology Officer

Is your enterprise ready to engage its customers and employees in new immersive experiences powered by web3 and the Metaverse. With Facebook's Horizons and Microsoft's Teams making significant product investments into creating underlying Metaverse Platforms for enterprises to launch both employee and customer-facing experiences, organizations would need tailored conversational strategies and specialized tools to drive effective engagement on these evolving Metaverse platforms . This session will explore the critical role of Conversational AI technologies in creating effective Metaverse solutions and experiences, and also address the key considerations for conversational AI in applications of Metaverse technologies for improving work productivity, deploying interactive learning environments, and powering e-commerce.