Name: Learn in Less Than 5 Minutes: 7 Steps to Build a Machine Learning Model
Start: 2022-04-15T14:00:00Z
End: 2022-04-15T14:00:03.000Z
Location: BrightTALK

This channel covers the advent of artificial intelligence in business and society. Join the discussion with webinars and videos covering everything from neural networks, to computer vision and NLP, to machine learning and AI application in the real world.

As businesses navigate increasing market volatility and digital transformation, the traditional walls between finance, product, and revenue operations are crumbling. In their place, a new model is emerging: the Intelligent Finance Trinity — a collaborative, AI-powered approach that aligns these functions around a single mission: sustainable, strategic growth.

This session explores how artificial intelligence is enabling this convergence by:

- Revolutionizing financial forecasting and scenario planning
- Powering dynamic pricing models and monetization strategies
- Predicting customer behavior and improving retention
- Creating real-time visibility across the entire revenue lifecycle

Panelists:

- Fuad Ahmad, Partner, FLG Partners
- Karen Chao, Chief Product Officer, Flowspace
- Bobby Edmundowicz, Advisor, Gelato
- Omar Nawaz, Global Exec. Director, Applied AI Association (moderator)

Our panel of experts will share real-world examples of how CFOs, product leaders, and RevOps teams are using AI not just to automate workflows, but to inform critical decisions, build agility, and transform finance into a central growth engine.

You’ll walk away with:

- A clear view of the emerging AI technologies reshaping finance
- Insight into the organizational changes needed to support cross-functional alignment
- A practical roadmap for building your own intelligent finance ecosystem

Whether you're a finance leader, a product manager, or a RevOps pro, this session offers valuable, actionable insights into how AI is redefining leadership, collaboration, and performance in modern business.

The Intelligent Finance Trinity:  How AI is Uniting CFOs, Product Leaders, and Revenue Teams

The AI revolution brings unprecedented security challenges.

As artificial intelligence systems become more sophisticated and integrated into critical infrastructure, they create vast new "attack surfaces" that hackers and malicious actors are already exploiting. What legal responsibilities do organizations face when deploying AI? How are governments worldwide responding with new cybersecurity mandates?

Join us for an essential hour with distinguished cybersecurity expert Scott Giordano delivering a compelling keynote, followed by a dynamic panel discussion moderated by AAIA Seattle Chapter President Boaz Ashkenazy with three leading practitioners Scott Giordano, Chuks Onwuneme and Shahil Argawal. Discover the emerging intersection of AI innovation, security vulnerabilities, and regulatory compliance that every technology professional needs to understand in 2025.

This isn't just about theoretical risks—it's about practical strategies for protecting your AI systems and your organization from potentially devastating breaches and legal consequences.

Speakers:
- Scott M. Giordano, Esq., Co-Founder and Partner, The CISO Law Firm PLLC
- Chuks Onwuneme, Co-Founder, Identities AI
- Sahil Agarwal, Co-founder and CEO, Enkrypt AI
- Dian Trabulsy, Attorney, Grace May, LLC
- Moderator: Boaz Ashkenazy, CEO and Co-Founder, Augmented AI Labs

AI and Cybersecurity: Navigating the Expanding Threat Landscape

In today's world of AI/ML, high-performance computing, and data centers, RDMA (Remote Direct Memory Access) is essential due to its ability to provide high-speed, low-latency data transfer. This technology enhances scalability, reduces CPU overhead, and ensures efficient handling of massive data volumes, making it crucial for modern computing environments. But how does it actually work?

In this session, we'll define RDMA, explore its historical development, and its significant benefits. In addition, we’ll provide an in-depth look at RDMA over Converged Ethernet (RoCE) and InfiniBand (IB), cover the fundamental objects, Verbs API, and wire protocol. 

Key Takeaways:
1. Insights into the historical development and evolution of RDMA technology.
2. Comprehensive understanding of RDMA and its role in modern computing.
3. Detailed exploration of RDMA implementations
4. Explanation of fundamental RDMA components, such as the Verbs API and wire protocol (e.g., IB and RocE)

Join us for an insightful SNIA Data, Storage & Networking webinar on RDMA.

Everything You Wanted to Know About RDMA But Were Too Proud to Ask

Join us for an insightful exploration of intellectual property (IP) challenges and opportunities in the rapidly evolving field of AI. This event brings together international legal experts, corporate leaders, and startup innovators to provide diverse perspectives and practical insights on the unique IP challenges in AI. We will examine global legal frameworks and strategize on future-proofing IP practices in this rapidly advancing field.

Speakers:

Simon Michie
Digital Infrastructure CTO
Simon, a seasoned Digital Infrastructure CTO and co-founder, led a team that won DCD's Edge Project of the Year in 2022. Now a fractional CTO and member of the Applied AI Association, he helps mid-market organizations navigate technology, focusing on deploying effective solutions and maintaining a human-centric approach.

Maximiliano Santa Cruz
CEO and Partner, Santa Cruz IP
Maximiliano, a leading intellectual property expert, has over 20 years of experience in shaping IP policies nationally and internationally. As CEO of Santa Cruz IP, he advises on strategies to boost competitiveness and innovation using advanced data analysis. His expertise makes him a valuable ally in leveraging IP in today's competitive landscape.

Matt Swafford
Legal Director, Global Operations and AI, Lenovo
Matt leads AI policy and governance at Lenovo with 30+ years of experience. He advises on generative AI products, supports Global Operations, and manages strategic alliances. His expertise covers intellectual property, data policy, M&A, and technology law in tech and healthcare industries.

Pablo Biggs
Chapter President, Charlotte & Latin America Chapters, Managing Director, Altreya Consulting LLC
Pablo, co-founder and Managing Director of Altreya Consulting, helps executives boost revenue and profitability. He specializes in strategic growth, digital transformation, and organizational optimization. Biggs has experience scaling tech solutions for both Fortune 50 companies and VC-funded startups.

Navigating the IP Frontier: Intellectual Property in the Age of Artificial Intelligence

As artificial intelligence continues to transform industries, the demands on storage systems are evolving at an unprecedented pace. Join STA for a dynamic roundtable discussion featuring industry experts, including Patrick Kennedy of ServeTheHome, J Metz, Chair of SNIA, and STA board member Jeremiah Tussey. Together, they’ll explore the trends and technologies shaping the future of storage in an AI-driven world and how organizations can prepare for these changes.

What You’ll Learn:
- The impact of AI on storage architectures, including advances in SAS and other technologies.
- How storage scalability and performance requirements are adapting to AI workloads.
- Emerging innovations in storage management and data processing for AI-driven applications.
- Real-world insights into optimizing storage solutions for machine learning and deep learning.
- Predictions for the future of storage in AI, including opportunities and challenges.

Don't miss this opportunity to gain expert insights and join the conversation about the next wave of storage innovation.

Storage Trends in AI 2025

Join the virtual event of India Chapter of the Applied AI Association (AAIA) to engage in meaningful discussions & insightful experiences about the future of AI and ERP.

The event will feature a talk by Santosh Sapke, who is a seasoned Enterprise ERP Solution Architect with over 25 years of experience in designing, implementing, and managing complex ERP/OSS/BSS systems across various industries & over 20 countries.

Santosh has been recognized as a Significant Performer & Innovator in the UK with CPW as Solutions Architect, and is the Founder of ISAS Systems, responsible for end-to-end system design and process implementation.

The talk will be moderated by AAIA Chapter President Gayathri Devi Jayan and will be followed by Q&A with the attendees. Whether you're actively developing AI solutions, exploring implementation strategies, or simply passionate about AI's potential, you'll find your learning community here.

_______________________________________________________________

About the Applied AI Association

The India Chapter of the Applied AI Association (AAIA) serves as your local gateway to practical AI adoption and community impact. We bring together business leaders, AI practitioners, and community advocates to make artificial intelligence accessible and beneficial for all individuals and companies. Our chapter specializes in helping non-technical professionals navigate the AI landscape through hands-on workshops, peer networking, and real-world case studies from local companies.

We're particularly passionate about ensuring AI literacy reaches underrepresented communities, offering targeted programs and resources to bridge the digital divide. Whether you're exploring AI solutions for your business or looking to share your AI implementation journey, the AAIA India chapter provides the connections, knowledge, and support you need to succeed in the AI-enabled future.

The Future of AI in ERP Systems

Artificial intelligence and Machine learning (AI/ML) is a hot topic in every business at the moment, and there is a growing dialog about what constitutes an Open Model, is it the weights? Is it the data?

Those are important questions, but equally important is ensuring that the tooling and frameworks to train, validate, fine-tune, and perform inference are open source. Storage systems are a crucial component of these workflows, how can open-source solutions address the needs for high capacity and high performance?

Data is key to any and all AI/ML workflows, without it there would be no data to use as an input for model training, re-evaluation and refinement of models, or even just securely storing models once training is complete, especially if they have taken weeks to produce!

Open source solutions like Ceph can provide almost limitless scaling capabilities, both for performance and capacity. In this webinar, learn how Ceph can be used as the backing store for AI/ML workloads.
We’ll cover:
• The demands of AI on storage systems
• How open source Ceph storage fits into the picture
• How to approach Ceph cluster scaling to meet AI’s needs
• How to get started with Ceph

Ceph Storage in a World of AI/ML Workloads

Join us for an insightful webinar on the transformative impact of AI on networking. This session will delve into the various use cases of AI, the nature of traffic for different workloads, and the network impact of these workloads. We will explore the multiple networking challenges posed by AI and how Ethernet is evolving to meet these demands. Special focus will be given to congestion issues during model training, the role of Ultra Ethernet Consortium (UEC), and the specific requirements related to training large language models (LLMs) and other use cases.

Learning Objectives:
- Understand the different types of Network Topologies typically used with AI workloads.
- Identify the nature of traffic for various AI workloads and their impact on networks.
- Learn about the challenges Ethernet faces with AI workloads and the solutions being implemented.
- Explore a specific use case to see how Ethernet addresses bandwidth and congestion issues.

Don’t miss this opportunity to stay ahead in the rapidly evolving field of AI and networking. Register now to secure your spot and gain valuable insights from industry experts!

Ethernet in the Age of AI: Adapting to New Networking Challenges

This presentation examines the critical role of storage solutions in optimizing AI workloads, with a primary focus on storage-intensive AI training workloads. We will highlight how AI models interact with storage systems during training, focusing on data loading and checkpointing mechanisms. We will explore how AI frameworks like PyTorch utilize different storage connectors to access various storage solutions. Finally, the presentation will delve into the use of file-based storage and object storage in the context of AI training: 
 
Attendees will:
- Gain a clear understanding of the critical role of storage in AI model training workloads
 - Understand how AI models interact with storage systems during training, focusing on data loading and checkpointing mechanisms
- Learn how AI frameworks like PyTorch use different storage connectors to access various storage solutions.
- Explore how file-based storage and object storage is used in AI training

The Critical Role of Storage in Optimizing AI Training Workloads

As organizations are looking for ways to stay on top of an evolving threatscape, many are
looking towards AI to enhance their security strategies and fend off cyber attacks before they
happen. In the 2022 CIO and Technology Executive Survey by Gartner, 66% of respondents
reported that they expected to increase cyber and information security investments for the
next year. More than half of respondents reported that they planned to heavily invest in
business intelligence and data analytics.

However some security leaders are cautious about adding artificial intelligence into their
security arsenal. Despite rapid advancements in AI, these solutions can also come with their
own unique set of drawbacks. Some skeptics say that AI technology is still immature and
that there may be simpler, more cost-effective solutions. With all the interest surrounding AI
in cybersecurity, it’s important for organisations to establish realistic expectations.

Join this panel to learn more about:
- The current state of AI in security
- What CISOs and their teams should keep in mind about AI
- How AI impacts your workforce strategy
- And more!

Speakers:
- Dan Lohrmann, Field CISO at Presidio
- Earl Duby, CISO at Lear Corporation
- Aidan Walden, Director, Public Cloud Architecture & Engineering at Fortinet
- Warsamé Ahmed, Co-Founder & CEO at BR[AI|YT.ai

Using AI in Cyber Security: Boon or Bust?

By most estimates, fewer than 20% of machine learning projects make it past the initial pilot stage. In order to succeed, data scientists must work closely with developers and IT operations teams to plan for future needs and model success to help justify costs. This webcast will explore the biggest challenges to implementing a machine learning project, where teams get tripped up and how to avoid these roadblocks. It will also cover advice for IT leaders about how to scale and support a machine learning project as it grows.

How to Get Your Machine Learning Project Past the Pilot Stage

Credit unions that seek digital solutions to improve overall operating efficiency and member satisfaction will hear how a large credit union successfully implemented process automation to achieve significant business goals. We will discuss the lessons learned, as well as best and worst decisions made along the way.  Join Ashwin Krishnamurthi, a Process and Automation Expert at a large credit union and Karen Diamond, VP of Enterprise Accounts at pureIntegration for this fascinating discussion.

Digitally Evolving Credit Unions: A Business Case for Automation

Enterprise Analytics are currently often the purview of a narrow group of data scientists and trained analysts, with business users bottlenecked by those experts, or left to rely on static BI dashboards that are too slow for data exploration, but the economy increasingly demands that front-line business decision makers need real-time self-service analytics to make decisions faster and improve the customer experience. 

In this talk, Peter Kacandes, a Sr. Technical Product Marketing Lead at Imply.io, will discuss:

The origins of this problem in the architecture of the current analytics tech stack, and the emerging hot analytics technology stack, which opens up self-service analytics on real-time big data to hundreds or thousands of business people at a company.  

How a real-time data store that is 10-100X faster than data warehouses or data lake query engines, combined with an intuitive and high-speed UI, can empower untrained “citizen analysts” such as marketing, product, and operations managers, to make myriad daily decisions faster and data-driven. 

The learnings of well-known companies who have implemented hot analytics for use cases such as user behavior, network, application and service performance monitoring, and real-time fraud detection.

Putting Big Data Self-Service Analytics in the hands of Business People

Far too many companies struggle with data-related issues such as integrating online and offline data, a lack of collaboration between teams, low data accuracy, and poor data accessibility. You already know that creating a single source of truth for your customer data is the first step to good customer data management. Having your data all in one place provides a single data set that everyone in the company can use. This is the key to making your tools and teams work better together. A Customer Data Platform (CDP) can do all this and more. CDPs are designed to normalize large amounts of data across a wide variety of systems gathering data on the same individual in very different ways. 

Have you heard of a CDP before and the value it brings?

In this webinar, you’ll learn:

-What is a CDP?
-What are the advantages of a CDP over a data lake?
-How can a CDP enable better business intelligence reporting?
-How CDPs can be leveraged with use cases designed for marketing, product and operations teams?
-And so much more!

About the presenter: 
Aimee applies her vast analytics, project management, and leadership experience to help our client teams deliver the best analytics consulting solutions possible. Specifically, she works closely with clients to develop reports and analyze data, identify trends and relationships between different types of data, draw appropriate conclusions, and translate findings into marketing and sales strategies that drive revenue. 

Aimee has more than 10 years of experience with web analytics solutions, including Adobe Analytics and Google Analytics, applying data-driven methodologies to business, product, sales, and growth initiatives. In addition to her strong analytics consulting expertise, she is a strategic thinker with the ability to influence decision making and a strong leader who ensures on-time, on-budget project completion.

Customer Experience Focused Business Intelligence - Better with a CDP

AI is not a one-size-fits-all technology; each AI project is customized to solve a specific business problem, with machine learning models. These models rely on data and algorithms to address a project’s needs. Learn the seven steps to building an effective machine learning model in this five-minute rapid session that gets you up to speed without disrupting your day.

Learn in Less Than 5 Minutes: 7 Steps to Build a Machine Learning Model

Artificial Intelligence

Machine Learning

Machine Learning Models

Welcome to the mobile computing community on BrightTALK! With the consumerization of IT and the widespread adoption of mobile devices across the globe, mobile computing has become an important part of many people's lives in a culture of bring your own device (BYOD). With mobile devices doubling as work phones and more employees working from home, businesses need to provide secure access to data and work applications from anywhere at any time. Join this growing community and hear from industry thought leaders in webinars and videos as they share their insight on mobile computing research and trends.

Mobile Computing

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

Cloud Computing

The IT security community on BrightTALK is composed of more than 200,000 IT security professionals trading relevant information on software assurance, network security and mobile security. Join the conversation by watching on-demand and live information security webinars and asking questions of experts and industry leaders.

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Application Development

Enterprise applications have become a crucial piece of infrastructure for many businesses. The enterprise applications community on BrightTALK features the latest insights in enterprise application integration, enterprise application architecture and EAS software. Join the community to gain access to thousands of videos and webinars presented by recognized enterprise information systems experts and arm yourself with the knowledge you need to succeed.

Enterprise Applications

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

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Big Data and Data Management

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Learn in Less Than 5 Minutes: 7 Steps to Build a Machine Learning Model

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Artificial Intelligence