Name: AI Powered Agility: Driving Data Integration & Automation
Start: 2025-08-20T18:00:00Z
End: 2025-08-20T18:00:51.000Z
Location: BrightTALK
Rating: 5

Jitterbit automates and orchestrates business systems to empower teams, unlock value, and accelerate business transformation. With Jitterbit, organizations can streamline operations, enhance data accessibility, and deliver on a growing list of IT needs more quickly and confidently. For organizations ready to modernize and innovate, Jitterbit provides a unified AI-infused low code platform for integration, orchestration, automation, and app development that accelerates business transformation, boosts productivity, and unlocks value. 

Are outdated, manual EDI processes hindering your business efficiency and growth? Need to seamlessly transact with trading partners and integrate that data across your entire application ecosystem?

Join us for a live webinar and learn how greater interconnectivity, visibility, and transparency can uplevel your EDI experience.

In this webinar, you will discover how to:
-Set up new trading partners in seconds with 1000’s of pre-built trading partner connections.
-Effortlessly set up, test, and monitor EDI custom trading partners and transactions through an intuitive, user-friendly interface.
-Integrate EDI with ERP systems and other apps for greater consistency and fewer silos
-Get full visibility and comprehensive management of EDI transactions —even if you’ve never used EDI before.
-Reduce manual effort and errors across your order-to-fulfillment lifecycle.

If you’ve been wanting to ditch spreadsheets and manual data entry — or just move away from your legacy or on-prem EDI — this webinar will show you how. In just 40 minutes, you could be enjoying greater efficiency and better trading partner communications with a self-managed, fully integrated EDI platform.

Transform B2B with Modern EDI and Data Integration

Are you ready to transform your business? Join us live to discover how integration and workflow automation are no longer optional—they're essential for surviving and thriving in today's digital landscape.
In this interactive webinar, we'll dive into the challenges holding your business back:

- Disconnected systems that slow down operations and create inefficiencies
- Manual processes that drain productivity and increase errors
- Siloed data that prevents teams from making fast, informed decisions
- Limited IT resources stretched too thin to keep up with integration and automation demands
If any of these challenges sound familiar, you’re not alone. The good news? Businesses that embrace integration and workflow automation are not only solving these problems—they’re gaining a competitive edge.
In this live interactive session, we will:
Explore the latest trends in business transformation
Understand why integration is the cornerstone of scalable workflow automation initiatives
Learn how AI is accelerating digital transformation and what it means for your business
Learn why security and compliance considerations are key when implementing an enterprise-grade integration solution to protect your data and operations

AI-Powered Agility: Integration and Automation for the Future of Business

Discover AI’s impact on enterprise integration, orchestration and automation. We explore the concept of ‘AI infusion’ and its potential to transform the way we approach business process automation.

• Gain insights into the future of enterprise orchestration and automation and how it will impact your business
• See firsthand how AI streamlines complex automation processes to boost efficiency
• Learn about Jitterbit’s innovative approach for low-code and AI-infused integrations and automation
• Discover how you can leverage AI to solve enterprise challenges without extensive technical expertise

How AI Infusion Will Transform Enterprise Automation

Businesses are facing many internal and external challenges: rising costs, supply chain disruptions, employee retention, customer retention, market competition, cybersecurity threats, and more. In this webinar, through how digital transformation through the evolution and explosion of low code application platforms.
We walk you through how to optimize performance monitoring, accountability, emergency type, response type, planning, hazard identification, training, incident reporting, which is always a big one, and then, of course, safety documentation. And that's just the start. There were so many opportunities to be able to bring all your safety management needs under a single platform.

Driving Transformational Change in Safety Management

Darn Tough needed to migrate its operations to the cloud while modernizing its manufacturing process — all without any disruption to their business. They began looking for a future-proof solution that would allow them to integrate with their new cloud ERP system and would let their shop floor employees focus on what they knew best: making socks.

U.S.-based Darn Tough Socks cut data entry time by nearly 90% by creating an app to reduce complex manual entry to a simple, guided process.

The Manufacturing Execution System app has become central to running the manufacturing process. This app started as a small, very specific app but today, it’s running the shop floor and tracking each step of the manufacturing process from start to finish, including data, any production issues, and equipment up/down status and run times.

Apparel Manufacturer Streamlines Shop Floor Experience with Mission-Critical Apps

Gain a comprehensive view of the business process automation landscape with current stats and research
• Learn why a platform approach does more than just simplify billing
• Find out what to look for as you move toward making your new architecture as secure as possible—including some things you may not have considered
• Get a first look at how a few of the technologies on the horizon could impact business process optimization
Key considerations to help you work toward your goals.
1. Four forces impacting your automation, integration and orchestration goals
2. Why you should embrace technology changes: legacy, modern and future
3. How to build an architecture to drive business outcomes
4. Ways to ensure your new architecture is as secure as possible

Osterman Research: Pursuing Operational Excellence with Automation and Orchestration

Watch how Jitterbit’s leading enterprise low-code application platform enables BioPet to quickly and easily build scalable, end-to-end apps that seamlessly integrate into existing systems. Using App Builder, BioPet built a customer-facing application to provide easier, faster access to their dog owner database:
• Accelerate delivery of newly launched applications
• Enable app administrators with little-to-no tech training to manage and run enterprise applications
• Improve task efficiency across the organization

Pet Genomics Organization Automates Data Management with Low-Code Application Building

Small and medium enterprises are drowning in data while starving for insights. With unstructured data projected to represent up to 90% of all enterprise data by late 2025, and only 35% of SMEs leveraging cloud-based analytics, there's an enormous untapped potential for competitive advantage. In today's AI-driven landscape, the ability to transform raw data into actionable intelligence isn't just beneficial—it's essential for survival and growth.

While large enterprises deploy specialized teams and substantial budgets to tackle data challenges, SMEs face unique obstacles in extracting value from their information assets. Without proper frameworks for data cleansing, integration, and governance, organizations risk making critical decisions based on flawed insights. This session delivers practical, cost-effective strategies specifically designed for businesses without enterprise-scale resources, helping you navigate regional compliance variations and integrate data across disparate systems to drive measurable ROI.

Join Eugina Jordan (CEO and Co-founder of YOUnifiedAI) to explore proven methods for converting data chaos into strategic advantage.

Key Takeaways:
- Practical frameworks for effectively managing both structured and unstructured data sources
- Step-by-step methods for ensuring data quality and integrity across your organization
- Integration strategies that bridge legacy systems with modern platforms without breaking the budget
- Governance approaches that address regional compliance variations while maintaining data accessibility
- Real-world examples of SMEs that have successfully converted disparate data into revenue-driving insights

From Data Chaos to ROI: Practical Frameworks for SMEs

The way employees communicate and collaborate is constantly evolving, and so too are the security threats they face. The rise of generative AI adds a new layer of complexity, requiring CISOs to proactively address the risks of data loss and potential harm to the organization.

Traditional security approaches often fall short in addressing the unique challenges posed by modern collaboration tools and the integration of GenAI. Understanding and mitigating these risks is critical for maintaining data privacy, preventing leakage, and ensuring compliance. We'll share Metrigy's latest research data to reveal actionable strategies for a comprehensive, business-aligned security strategy.

Join Irwin Lazar (President and Principal Analyst at Metrigy)  to discover the key components of a modern security approach, including how to: 

- Establish alignment between IT, collaboration, and security teams to address evolving threats.
- Identify emerging threats stemming from new applications and out-of-band communications.
- Understand how generative AI creates new risks for data privacy, leakage, and effective data management.
- Develop a comprehensive security strategy tailored for collaborative environments and the GenAI landscape.
- Evaluate the benefits of third-party platforms optimized for collaboration and GenAI security to enhance your security posture.

Secure Collaboration in the Age of GenAI: A CISO's Guide to Risk Mitigation

Sustainable business relationships center on both long-term collaboration and minimizing environmental impact throughout the supply chain. Effective manufacturing and supply chain processes are increasingly reliant on transparency, adaptability, and digital tools that allow for predictive, rather than reactive, planning.

This session presented by CEO Justin Newell will demonstrate -- using a few examples -- how organizations such as Volkswagen have leveraged generative AI and intelligent decision-making systems to enhance sustainability and efficiency within logistics, supply chain, and manufacturing. 

AI is most powerful when it processes dozens or even hundreds of factors simultaneously -- far beyond the capacity of human decision-making or traditional systems. AI-driven optimization engines allow companies to simulate countless supply chain scenarios in real time, identifying the most sustainable and efficient outcomes.

When manufacturing and logistics processes are optimized through AI, delays are minimized, expectations are met more consistently, and customer satisfaction rises due to great transparency and on time delivery performance. The transparency and speed that come from real-time data and predictive analytics foster trust and reliability -- both cornerstones of sustainable business relationships.  Solutions such as this not only reduce operational complexity but also help reach environmental and service quality goals more effectively.
This can lead to more sustainable business relationships — both in longevity and from an environmental impact -- and increased customer satisfaction. 

Key Takeaways 
1. Trends in AI for 2025 and 2026.
2. Real-world examples of AI/ML in action.
3. How complex logistics can be better managed with AI and digital decision making.
4. Innovative solutions to improve manufacturing operations and product lead times with AI.

Reshaping the Role and Impact of AI in Manufacturing and Supply Chain Logistics

In the era of zettabyte scale information, organizations often find themselves “data rich but insight poor.” While data volume has exploded, the ability to translate that data into competitive advantage lags behind. The consequence? Missed opportunities, inefficient operations, and a failure to capitalize on the full potential of today's technology.

But technology alone is not enough. True scalability demands a people‑first culture that champions collaboration, shared data definitions, and continuous learning. By aligning technical choices with clear business goals and fostering an environment where data informs every decision, companies can bridge the gap between big data and big insights - moving from dashboards that describe the past to systems that actively shape the future.

In this session, we delve into the challenges preventing organizations from maximizing their data investments. We explore how to bridge the gap between raw data and strategic insights by building scalable, purpose-built systems that leverage cutting-edge technologies like AI and machine learning. Discover practical approaches to data integration, governance, and analytics that empower your teams to make data-driven decisions, optimize processes, and unlock new revenue streams.

Join Dmytro Basan to discover how to turn your data into a strategic weapon.

Key takeaways:

- Define Clear Business Objectives: Align your data strategy with business goals to ensure a measurable ROI.
- Build a Scalable Data Foundation: Invest in a modern data architecture that can handle growing data volumes and diverse data sources.
- Embrace Automation and AI: Leverage AI-powered analytics to automate insights discovery and accelerate decision-making.
- Promote Data Literacy: Empower your employees with the skills and tools they need to access, analyze, and interpret data effectively.
- Measure and Iterate: Continuously monitor the performance of your data initiatives and adjust your strategy based on results.

Unlocking Data's Potential: Scaling Systems for Real Insights

Is your IT support team struggling to meet performance goals? Without benchmarking, it’s impossible to know how you stack up against industry peers or where to focus improvement efforts. 

In this webcast, Jeff Rumburg, Managing Partner of MetricNet, will demonstrate how to use benchmarking to identify performance gaps, set realistic goals, and implement actionable strategies for improvement. Attendees will learn how to leverage benchmarking data to achieve world-class IT support performance.

Benchmarking Your Way to World-Class IT Service and Support

The marketplace is buzzing with AI expectations, but where's the real business value? Despite massive investment and executive enthusiasm, most organizations remain stuck in the perpetual pilot phase, unable to translate AI potential into tangible outcomes that impact the bottom line.

Data volumes continue to expand at unprecedented rates. Meanwhile, regulatory requirements grow increasingly complex. These dual pressures demand that enterprises extract meaningful intelligence from their data assets while maintaining strict governance protocols. Practical AI implementation has become essential for survival, not just competitive advantage.

Moving from AI aspiration to implementation requires many critical decisions.
When is building in-house capabilities the right choice, and when is it best to go with third-party providers? How can you use the analytical power of AI while protecting sensitive data? And at what points does human expertise remain irreplaceable in your AI strategy?

Join TreeHive Strategy Principal, Donald Farmer as he delivers actionable strategies for enterprise leaders navigating real-world AI deployment challenges.

Key Takeaways:

- Practical decision frameworks for evaluating build-versus-buy AI strategies that align with your organization's data maturity and business objectives
- Governance approaches that protect proprietary data while maximizing AI's analytical potential across your enterprise
- Strategies for managing integration complexity when deploying AI within existing data management infrastructures
- Methods for identifying where human expertise remains critical in your AI-augmented data operations
- Actionable roadmap for scaling successful AI pilots into enterprise-wide data management solutions

AI That Works: Strategic Implementation for Measurable Business Outcomes

In today's fast-moving digital world, data has become one of the most valuable assets for any organization. However, simply collecting data is no longer enough. To fully unlock its potential, businesses must focus on making their data "AI-ready"—meaning clean, organized, accessible, and trustworthy for advanced analytics and artificial intelligence. This presentation explores the critical components of AI-ready data, emphasizing practical steps for effective data management, advanced reporting capabilities, and how these elements together drive real competitive advantage.

Through a mix of strategy, real-world examples, and simple explanations, this session highlights how organizations can move from traditional data practices to modern, intelligent systems that enable faster decisions, deeper insights, and more responsive customer experiences. Whether you're a business leader, data professional, or technologist, this talk offers actionable guidance on preparing your data ecosystem to meet the demands of AI-driven innovation.

Key Takeaways

- AI-Ready Data Defined: Understand what it means to have data that is structured, cleaned, and governed for use in AI systems.
- Data Management Strategy: Learn the essential practices for collecting, integrating, cleaning, and securing data across the enterprise.
- Smarter Reporting: Discover how AI-ready data enables predictive insights, real-time dashboards, and automated reporting.
- Competitive Edge: See how leading companies use AI-ready data to innovate faster, personalize services, and make smarter decisions.
- Actionable Steps: Walk away with a roadmap to begin transforming your data landscape for AI-readiness—starting today.

AI-Ready Data: Management, Reporting and Competitive Advantage

Data-Driven Strategies in the AI Age

Innovation is no longer enough: To remain competitive, you also need to integrate and automate ever-increasing (and increasingly siloed) data stacks. But there are a lot of obstacles standing in the way of a successful modern data strategy—including fragmented systems, application proliferation, legacy infrastructure and more. 

Now that traditional rule-based automation isn’t enough to resolve data siloes, what’s next?

Join Jitterbit CTO Manoj Chaudhary as he explores how AI Agents can redefine intelligent automation, bridging the gap between legacy systems and modern applications through adaptive, autonomous decision-making. See firsthand how AI-infused platforms can orchestrate workflows across disparate environments, eliminating silos and delivering true end-to-end automation.

You’ll also discover:
-How major transformation drivers affect your data, including global economic dynamics, hybrid IT complexity, and enterprise-scale orchestration demands
-Why traditional automation fails in today’s complex, data-heavy environments — and how AI Agents offer a flexible, context-aware alternative
-Why AI Agents represent a breakthrough in automation, enabling systems to reason, adapt, and act autonomously
-How the architecture of intelligent automation empowers Agent Orchestrators to coordinate specialized agents (Sales, IT, HR, etc.) and allow execution at scale
-How to evolve beyond traditional workflows with the unified, AI-infused Jitterbit Harmony platform, which empowers even the most nontechnical users to harness powerful iPaaS, API Management, App Development, and EDI capabilities.

Best of all, we’ll show you a practical blueprint for how to get started, including ways that Jitterbit Harmony’s AI agents can help you close the gap between vision and execution. Come discover what’s possible with a unified, intelligent automation strategy — and get ready to turn AI into a strategic enabler for your enterprise.

AI Powered Agility: Driving Data Integration & Automation

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AI Powered Agility: Driving Data Integration & Automation

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