Name: Practical Open Source AI: Moving Fast Without Breaking Things
Start: 2025-10-14T20:00:00Z
End: 2025-10-14T20:00:36.000Z
Location: BrightTALK

With more than 35 million users, Anaconda is the world’s most popular data science platform and the foundation of modern machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world.

Financial institutions face an unprecedented challenge: deploying AI at startup speed while
maintaining bank-grade security and regulatory compliance. The native integration between
Anaconda and Databricks is designed to address the trade-off between innovation velocity and
enterprise security. Join Databricks, Anaconda, and ESG as we review the current state of AI
deployment in financial services and share examples of the challenges and how this unified
platform scales from secure development environments to enterprise production, enabling
financial services to innovate quickly and confidently without compromising regulatory
standards.

From Pilot to Production: AI Governance Strategies for Financial Services

Enterprise AI projects are failing at alarming rates. Despite massive investments, most organizations struggle to move from proof-of-concept to production-scale success.

The problem isn’t the technology—it’s the approach.

Join Forrester Principal Analyst Mike Gualtieri, Forrester Senior Consultant, Luca Son, and Anaconda Field CTO Steve Croce as they reveal why some enterprises are thriving with AI while others remain stuck. You’ll discover the real barriers blocking AI success and the practical strategies that are delivering measurable results.

Key Takeaways:
The 3 critical mistakes that doom AI projects before they start
How to balance innovation speed with enterprise security requirements
The unified platform approach that eliminates AI toolchain fragmentation
Why curated open source beats DIY for production-ready AI at scale
 

Whether you’re a data leader frustrated by slow progress, an IT executive balancing innovation with security, or a business leader demanding AI results, this session provides the clarity you need to move forward with confidence.

Making Enterprise AI Work

Register to access this free on-demand webinar for an exclusive look at the latest enhancements to the Anaconda AI Platform—the only unified platform designed to streamline AI development with open source. In this session, Saundra Monroe will demonstrate how our unified platform empowers technical teams to accelerate innovation, reduce operational costs, and gain competitive advantage—all while maintaining enterprise-grade security and compliance.

Discover how the Anaconda AI Platform now delivers:

3X more compatible artifacts to launch AI initiatives faster
Simplified enterprise adoption with guided onboarding and smarter navigation
Curated environments tailored to specific use cases and industries
Comprehensive security and governance across your entire AI development lifecycle

Accelerate Innovation with the Anaconda AI Platform

The growth of open-source AI in the enterprise has been nothing short of phenomenal. Enterprise Strategy Group (ESG) research found that 99% of organizations are actively using, exploring or experimenting with AI in their environments.

As organizations accelerate their AI initiatives, the adoption of open-source tools has become essential. But there isn’t a commonly known playbook for how to leverage open-source AI, and rapid changes in AI models, tools, and frameworks means there is currently a steep learning curve. 

In this exclusive webinar, open-source visionary and co-founder of Anaconda, Peter Wang, shares insights about the growth and challenges of the open-source AI phenomena with Mark Beccue, ESG Principal Analyst. Tune in as the pair unpack:
• How open-source tools provide unparalleled flexibility, cost-effectiveness and access to cutting-edge tech
• Best practices for operationalizing AI with open-source tools
• How to overcome the AI readiness gap 
• Where & how Anaconda assists customers in their AI journeys

Understanding the State of Enterprise Open-Source AI & Adoption Challenges

Are you ready to revolutionize your data analysis workflow? Join us for an insightful webinar where we’ll explore how to streamline your analytical tasks using Snowflake Notebooks and Anaconda packages. Whether you’re a data scientist, analyst, or engineer, this session will equip you with the tools and techniques to automate repetitive processes, increase productivity, and gain deeper insights faster.

Automate Your Analysis Tasks with Snowflake Notebooks & Anaconda Packages

Join this webinar for an introduction to Python in Excel including taking your first steps, understanding data types and output modes. A brief introduction to Pandas DataFrames, custom functions and a simplified Python charting experience using the Anaconda Toolbox for Excel.

Introduction to Python in Excel

Experience our exclusive 2025 AI Predictions Webinar where top experts from Anaconda and the industry explore the trends, innovations, and opportunities shaping the future of AI.

What You'll Learn:
AI Agents: How autonomous agents will drive automation and business operations
AI Trends for 2025: What cutting-edge advancements to prepare for
Real-World Applications: How organizations are turning AI insights into action
Practical Advice: How businesses can align their AI strategy for the coming year

Moderator: Kodie Dower, Sr. Marketing Communications Manager, Anaconda

Panelists:
Peter Wang, CAIO, Anaconda
Greg Jennings, Head of Engineering - AI, Anaconda
Priyanka Kulkarni, founder and CEO of Casium

2025 AI Predictions: Uncover the Future of AI with Industry Experts

Join us for an insightful fireside chat as we peer into the future of artificial intelligence (AI) in 2024. In this dynamic session, industry experts will share their predictions and unveil the vast opportunities ahead in the rapidly evolving landscape of AI. Our speakers will delve into key areas shaping the AI ecosystem, exploring recent advancements in machine learning, large language models (LLMs), and beyond. Studying transformative breakthroughs to emerging trends, we will analyze the forces propelling AI innovation and their potential impact on industries ranging from healthcare and finance to manufacturing and entertainment.

In this webinar, you will learn:

What could be next, after this year’s explosive growth of large language models (LLMs)
Strategic considerations for organizations and data professionals navigating the AI landscape in 2024
How open-source AI and closed-source AI will compete in the coming year and the potential outcomes of the race to build marketable AI systems

AI in 2024: Unveiling Predictions and Seizing Opportunities

MLOps offers ways to optimize processes, automate workflows, detect anomalies, reduce costs, and improve business outcomes. However, implementing and applying these techniques can be a large and complex effort. In this webinar, we’ll explore how to successfully implement MLOps across the enterprise using data science platforms to achieve different business goals, like deployment and automation, reproducibility and scalability, diagnostics, governance and compliance, collaboration, and monitoring.

Speaker: 
Chris Styduhar is the Director of Enterprise Products at Anaconda. With a background in software engineering, machine learning, and enterprise technology solutions, Chris manages the development of Anaconda’s Data Science Platform, including MLOps and AI features that help data scientists build, collaborate, and deploy more effectively.

Data Science in the Enterprise: Leveraging MLOps in the Enterprise

Open-source software (OSS) is at the heart of many of the innovations in machine learning (ML) due to its accessibility, flexibility, and active community support. As a result, many enterprise organizations are adopting or seeking to adopt OSS into their operations, product development, and marketable solutions. However, as with any software, OSS is not immune to vulnerabilities and requires an actively managed governance program.

In this webinar, we describe some of the major advantages of open-source software, along with common risks. We also describe key features of an effective OSS governance program with a focus on challenges for enterprise in the areas of software supply-chain security, license management, and support.

Building an OSS Governance Program for ML in the Enterprise

As data continues to grow at an exponential rate, businesses must find ways to leverage it for competitive advantage.

In today's fast-paced environment, organizations need a solution that provides the resources, horsepower and scalability needed to create and execute complex, powerful AI / ML solutions.

An enterprise data science platform is the solution to enable organizations to efficiently manage their data and transform it into actionable insights. 

Join Anaconda's Director of Enterprise Product, Chris Styduhar, on Thursday, June 8 to learn:

The most compelling use cases for your data

Why your organization could benefit from a full-featured Data Science Platform

The unique capabilities provided by Anaconda's Data Science Platform and Enterprise products

Why You Need a Data Science Platform

Recent events have highlighted the importance of software supply chain trustworthiness and security.

In this session, we discuss the content trust features in conda and the Anaconda Professional Repository. We’ll describe the design of conda's package signature verification functionality and its trust architecture, and identify the threats they protect against. Finally, we’ll highlight what’s next for Anaconda content trust as we continue to work to better secure the conda package ecosystem.

How Conda Signature Verification Secures Your Software Pipeline from the Start

AI techniques like machine learning (ML) and deep learning (DL) offer new ways to optimize processes, automate workflows, detect anomalies, and reduce costs in manufacturing industries, with a potential value estimated at $2 trillion. However, these techniques can be tricky to implement and apply, with many potential pitfalls for the unwary.

In this webinar, we’ll explore some use cases for AI in manufacturing and highlight what data science and machine learning practitioners need to consider when applying AI to this field.

Data-Driven Manufacturing: AI, ML, and Data Science

The innovation, community, and agility of open source software are unmatched, but Python ecosystems are not without risk. Security vulnerabilities are a reality in open-source code just as they are with proprietary software. It's a high-stakes game that depends on the robustness of your supply chain security. Scanning for security vulnerabilities is not enough; you must trust where your open-source software packages, libraries, and databases originate. We’re here to help.


In this webinar, you will learn:

Where, why, and how security issues might creep into your Python and R open-source ecosystem
How a single compromised open-source component can lead to a cascade of security breaches
Key steps for securing your open-source supply chain and a roadmap of risks you can reference with your teams to build security awareness

How to Secure Your Python Open-Source Supply Chain from Hidden Threats

Open-source software (OSS) offers free access to powerful tools created by the innovation of the community. But how you use those tools in an enterprise context can have significant effects on your organization’s data, collaboration, and security. Choosing the right OSS respositories for your use cases and requirements can make a difference in how your team builds, deploys, and secures your intellectual property and data. Anaconda provides secure open-source repositories to 90% of Fortune 500 companies. Join our Director of Engineering Kyle Leaders for a webinar about choosing OSS repositories with enterprise-level build, deployment, and security capabilities.


In this webinar, you will learn:
3 types of repositories commonly used in enterprise
5 considerations for choosing OSS repositories for enterprise
How to right-size and right-fit your OSS enterprise platform and tools

Considerations for Choosing OSS Repositories for Enterprise Use

As the adoption of artificial intelligence, machine learning, and data science (AI/ML/DS) continues to grow, the importance of open source security has never been more critical.

Today, upwards of 95% of enterprises rely on open source for rapid innovation making them attractive targets for threat actors who may attempt to compromise popular packages or distribute malicious ones.

Join Anaconda’s Principal Solutions Architect, Frank Yang, to learn how to secure your open source supply chain. This session will:

Delve into the challenges and risks associated with open-source

Demystify software supply chain security

Share best practices for mitigating open source risks

You will gain key insights on how to assess and secure your software supply chain and leverage open source innovations safely in your enterprise.

Securing Your AI/ML & Data Science Supply Chain

Scaling AI requires flexibility to get started but also completeness when deploying to production. 
Learn how to build high-performance AI pipelines with Pure Storage—integrating FlashBlade®, FlashArray™, and Portworx®. Join Field Solutions Architect Emir Biser and Principal Field Solutions Architect Ian Saunders as they share insights to guide your AI success.

 Together, they’ll cover:

● Designing and building high-performance, end-to-end AI data pipelines.
● Best practices for scaling AI workloads from experimentation to production, ensuring both flexibility during development and robustness during deployment.
● Strategies for helping organizations manage data as AI systems become production-ready, managing exponential growth while maintaining simplicity and efficiency.

From Data to Insight: Building End-to-end AI Pipelines with Pure Storage

Learn how top CIOs, developers, and AI leaders are moving beyond pilots to deploy real enterprise-grade agents. Hear insights from NVIDIA, DataRobot, and industry experts on the frameworks, tools, and strategies that make agents scale—no hype, just practical lessons.

Architecting Enterprise-ready Agentic AI

The customer journey doesn't live in one department. It stretches across marketing, sales, finance, and support — and along the way, manual processes, disconnected tools, and slow handoffs create gaps that frustrate customers and weaken business performance. From invoices that go unpaid, to limited visibility into cash flow, to rising churn, enterprises are feeling the impact of these disconnects in tangible ways that affect the bottom line.

This session cuts through the GenAI hype to focus on practical, safe, and measurable implementation across end-to-end customer process flows. You'll discover methodologies for identifying which problems are worth solving first, how to integrate manual and digital steps into one intelligent workflow, and where human oversight remains essential to prevent costly mistakes. We'll also dig into real-world strategies for managing GenAI's inaccuracies — ensuring invoices are correct, forecasts are reliable, and customer interactions build trust instead of risk.

Join Eugina Jordan, CEO and Co-Founder, YOUnifiedAI, as she reveals proven approaches to GenAI implementation that deliver measurable business outcomes across critical enterprise functions.

- Identify high-ROI opportunities for GenAI implementation across three critical workflows: invoicing, cash flow management, and customer retention
- Implement effective human-in-the-loop protocols that mitigate GenAI hallucinations while maximizing automation benefits
- Design cross-functional workflows that eliminate departmental silos and create seamless customer experiences
- Develop practical metrics to measure GenAI's impact on revenue acceleration, operational efficiency, and customer satisfaction
- Apply a strategic framework for scaling successful GenAI implementations across your organization

Transforming the Customer Journey with GenAI Across the Enterprise

For today’s CIOs and enterprise AI leaders, the path to meaningful AI outcomes doesn’t begin with algorithms—it begins with data. From model training to deployment at scale, the foundation of successful AI lies in how organizations manage, prepare, and govern their data.

Join executive leaders from Beyond.pl, NVIDIA, and Pure Storage for a strategic conversation on accelerating enterprise AI by addressing the most critical—and often underestimated—challenge: enterprise data readiness.

This session will explore:
● How to build a future-ready AI strategy rooted in trusted, governed, and accessible data
● The evolving role of CIOs and CDOs in enabling responsible AI across hybrid environments
● Data sovereignty, compliance, and ethical frameworks shaping AI adoption in regulated industries
● Real-world lessons from Beyond.pl on powering scalable and sustainable AI infrastructures such as their GPU-as-a-service facility in Poland. 
Whether you're piloting GenAI or scaling enterprise-wide initiatives, this webinar will provide actionable insights on aligning data, infrastructure, and governance to maximize business value from AI.

Enterprise AI Unlocked: High Performance Gains Through Innovations In Data Readiness & Ecosystem Integrations at Scale

Support teams are at a critical inflection point, with GenAI reshaping customer expectations overnight. While automation promises efficiency, it often creates impersonal experiences that damage loyalty. The most successful organizations are discovering that GenAI's true power lies not in replacing human interactions, but in strategically enhancing them at every touchpoint.

Generative AI offers transformative potential for support experiences, but only when implemented with a human-centered approach. This session defines GenAI specifically within the support context and explores practical applications that benefit both end-users and support agents. You'll discover how intelligent automation can scale operations while simultaneously improving satisfaction metrics across your support ecosystem.

Join Phyllis Drucker (Influencer, EZ2BGR8 Service Management) to explore proven frameworks for implementing GenAI solutions that put people first while driving measurable business outcomes.

Key Takeaways:

- Find the right balance between scaling support operations and maintaining customer satisfaction
- Implement GenAI-powered chatbots that deliver near-human experiences through contextual understanding
- Create customized, tailored responses that increase satisfaction and engagement 
- Establish measurement systems that quantify GenAI's impact and inform future initiatives
Develop a practical roadmap for implementing GenAI in support functions, regardless of your starting point

Human-Centered GenAI Support: Winning Customer Loyalty in the Automation Era

Despite massive investment and executive enthusiasm, most organizations implementing GenAI remain stuck in perpetual pilot purgatory. Behind the headlines and hype, a select group of companies has quietly crossed the chasm from experimentation to enterprise-wide transformation—achieving what their competitors merely discuss in boardrooms. Their secret isn't better technology, but rather a systematic approach to implementation that balances ambition with pragmatism.

GenAI's true power lies in enterprise-wide applications—reimagining customer experiences, supercharging product innovation cycles and transforming operational efficiency across every business function. The question isn't whether to implement GenAI, but how quickly you can transition from experimentation to organization-wide transformation while balancing innovation with responsible governance and ethical considerations.

Join Pankul Chitrav (Application Release Engineer, TD Bank) to discover how your organization can build an actionable GenAI roadmap that delivers immediate business impact while positioning you for sustainable competitive advantage.

Key Takeaways:

- Explore how leading organizations are applying GenAI to create tangible business value across functions
- Learn specific strategies to expedite product development, content creation, and decision-making through GenAI implementation
- Master techniques for streamlining operations while delivering hyper-personalized services at scale
- Gain actionable insights on governance frameworks, ethical considerations, and sustainable GenAI adoption strategies

Unleashing Generative AI: Transform Business Strategy from Concept to Competitive Edge

With AI tools exploding, organizations today are bombarded with new technical tutorials and prompt engineering tactics. But they often become obsolete within weeks. While competitors chase fleeting GenAI techniques, the true competitive advantage lies not in mastering specific tools, but in cultivating something far more fundamental. This presentation reveals the missing catalyst that transforms GenAI from a specialized technology into an organization-wide force multiplier.

The challenge isn't in teaching your teams how to use GenAI—they're already adopting it in their personal lives. It's in creating an environment where innovation flourishes organically across all levels of your organization. Brian Kirsch demonstrates why empowering employees to apply their unique job expertise to GenAI implementation delivers more sustainable results than top-down technical approaches. Learn how to establish the right framework that enables continuous innovation without requiring constant retraining as the technology evolves.

Join Brian Kirsch, IT Instructor and Industry Expert, to discover the one evergreen principle that drives successful GenAI adoption across organizations of all sizes.

Key Takeaways:

- Understand why traditional GenAI implementation approaches fail to deliver lasting competitive advantage
- Learn to empower employees at all levels to become drivers of AI innovation without technical expertise
- Discover a sustainable framework for GenAI adoption that remains effective despite rapid technological changes
- Gain practical strategies for fostering an environment where AI-driven innovation flourishes organically
- See real-world examples of how simple ideas can create profound change across departments

Unlocking the Secret to Sustained Innovation with GenAI

Discover how Pure Storage made work flow with AI agents by starting from real business problems and integrating AI in the flow of work — moving from finding information to taking action with Glean — instead of leading with tools and tactics.

Director Phu Nguyen shares a product mindset for adoption, the grassroots tactics that drove usage, and tangible outcomes.

You’ll also get practical guidance on enabling citizen development and evolving from product to platform to scale impact responsibly.

Making Work Flow with AI Agents: A Product Journey at Pure Storage

Discover how agentic AI powers resilient IT & service operations with predictive, self-healing systems that balance agility and control for CIOs and their teams.

Creating the next chapter of Service and Ops resilience with AI

Generative AI is rapidly transforming collaboration by enabling capabilities such as summarization, workflow automation, translation and more. Generative AI offers the potential to fundamentally transform how teams and individuals collaborate and create, eliminating mundane activities and fostering innovation.

In this session, we’ll explore how Generative AI is changing the workplace collaboration landscape, including availability of tools within collaboration applications, third-party tools, and studios enabling custom AI tool creation. We’ll look at organizational strategies and share real-world examples of approaches that achieve measurable success. We’ll also look at security, compliance, and governance concerns to minimize risk.

Key Takeaways:

- Learn how to identify and implement the right Generative AI tools for your team's specific needs, whether that means using built-in features in existing applications, integrating third-party solutions, or building custom tools for unique workflows.
- Understand how to create a foundational strategy for introducing Generative AI into your organization, including understanding which collaborative tasks can be automated to free up time for strategic work.
- Gain knowledge to evaluate and address security, compliance, and governance risks associated with Generative AI, enabling you to implement these tools responsibly and minimize potential liabilities.
- Discover how to measure the success of Generative AI initiatives by measuring before and after improvements resulting from implementation.

Leveraging Generative AI to Improve Collaboration

Storytelling is one of humanity's oldest tools—yet in the corporate world, its power remains largely untapped. Every day, brilliant business ideas die silently, buried beneath technical specifications and corporate jargon. The result? Missed opportunities, disengaged stakeholders, and strategies that never reach their potential. What if you could break this cycle and transform how your ideas are received and implemented?

With GenAI, business leaders can go from dense and technical business language to persuasive narratives that connect and convert. By leveraging AI-powered storytelling techniques, operations leaders, IT professionals and transformation executives can overcome the traditional disconnect between technical teams and business decision-makers, creating alignment that accelerates adoption and drives measurable outcomes. For professionals working in enterprise processes, AI operations, and digital transformation, this capability isn't just nice-to-have—it's essential for ensuring your initiatives receive the right support and resources.

In this session, Inigo Antolin (Head of Data Management and Governance at The British Council) reveals how to harness GenAI to transform your business communication from forgettable presentations into strategic narratives that drive action and results.

Key Takeaways

- How the storytelling gap is undermining enterprise process improvements and technology adoption in data-driven organizations
- Practical frameworks for using GenAI to translate complex technical concepts into compelling business narratives
- Techniques to customize your storytelling approach for different stakeholders across the enterprise
- Ready-to-implement GenAI tools and prompts that enhance communication effectiveness without requiring creative expertise
- Measurable business outcomes achieved by organizations that have mastered GenAI-powered storytelling in process transformation initiatives

GenAI Storytelling: Turning Technical Complexity into Business Impact

Gaining a Competitive Edge with GenAI

This presentation guides IT leaders beyond foundational AI to harness Agentic AI and Advanced Analytics for profound business transformation. We establish the Economic Imperative for autonomy, focusing on achieving cost-decoupled growth and exponential value gains that outpace competitors. The focus shifts from merely automating tasks to designing self-optimizing systems that autonomously pursue strategic goals.

Key Takeaways & Actionable Guidance:

• Strategic ROI: Quantify the impact of autonomy with expected metrics like 30−50% reduction in Dev Time (via Agentic SDLC) and 90% reduction in Mean Time to Resolution (MTTR) through proactive security and self-healing IT operations. (Source: McKinsey, Forrester, and HFS Research, 2024-2025)
• Architecture of Trust: Learn how to ground agents in proprietary, real-time data using RAG and Knowledge Graphs to ensure traceable, compliant, and highly accurate prescriptive decision-making.
• Governance & Scaling Blueprint: Implement a responsible three-stage adoption framework (Assisted, Delegated, Orchestrated) to mitigate risk. This includes defining Human-in-the-Loop (HITL) oversight points and establishing strict guardrails.
• Partner Evaluation: Utilize a rigorous checklist focusing on Explainability (XAI), LLM Agnostic platform design (to avoid vendor lock-in), system integration capabilities, and the partner's methodology for change management.
• The Evolving Role: Understand the transition of the IT leader role from manager to Chief Agent Designer, focusing on translating business outcomes into clear, measurable agent goals.

The Autonomous IT Leader: Using Agentic AI and Advanced Analytics to Architect a Proactive Business Strategy

While enterprise AI offers tremendous potential for organizations, implementation challenges include rapid technological evolution and governance concerns that undermine innovation confidence. This session focuses specifically on AI governance and security, featuring Anaconda's practical advice and best practices for establishing trust controls over AI models and procedures to help organizations succeed with their enterprise AI initiatives.

Practical Open Source AI: Moving Fast Without Breaking Things

Artificial Intelligence

Security Strategy

Governance

Risk Management

Enterprise Security

Best Practices

Compliance

Digital Transformation

Trust Controls

AI Security

Are you an IT service management professional interested in developing your knowledge and improving your job performance? Join the IT service management community to access the latest updates from industry experts. Learn and share insights related to IT service management (ITSM) including topics such as the service desk, service catalog, problem and incident management, ITIL v4 and more. Engage with industry experts on current best practices and participate in active discussions that address the needs and challenges of the ITSM community.

IT Service Management

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

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.

Business Intelligence and Analytics

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

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.

Practical Open Source AI: Moving Fast Without Breaking Things

Presented by

About this talk

Anaconda