Name: Modernizing Business Intelligence Creates Path to Data Leadership
Start: 2022-03-21T18:00:00Z
End: 2022-03-21T18:00:17.000Z
Location: BrightTALK

This channel features presentations by leading experts in the field of information security. From application, computer, network and Internet security to access control management, data privacy and other hot topics, you will walk away with practical advice for your strategic and tactical information security initiatives.

Identity governance and administration (IGA) programs are critical for managing enterprise security and compliance, yet many organizations face persistent challenges. Operational inefficiencies, reliance on manual processes, and the growing complexity of managing diverse applications and identities often hinder success. As the digital landscape evolves, the stakes are higher than ever for enterprises to modernize their IGA strategies.

This session explores the latest research from Omdia, revealing how leading organizations are addressing these challenges. From leveraging AI agents to automating workflows, discover actionable insights that can transform your IGA program into a driver of business value. Whether you’re refining an existing initiative or planning a new one, this session will equip you with the tools and strategies to stay ahead in 2026.

Join Todd Thiemann, Principal Analyst at Omdia, to uncover what’s working, what’s not, and where the future of IGA is headed.

Takeaways:
- Strategies for integrating more applications while controlling costs.
- Insights into rationalizing workforce identity security tool portfolios.
- The role of AI agents in combating deepfakes and enhancing automation.
- Best practices for governing non-human identities (NHIs) and AI agents.
- Key trends shaping the future of enterprise IGA programs.

Elevating Enterprise IGA Programs for the Future

The rapid growth of digital identities, evolving compliance demands and advanced cyber threats have made identity governance and administration (IGA) a critical priority for modern enterprises. Without a structured governance framework, organizations risk operational inefficiencies, data breaches and reputational harm. Issues like access sprawl and privilege misuse are no longer just IT concerns—they are pressing business challenges.

This session will explore how businesses can implement effective IGA strategies to manage identities, ensure compliance and mitigate risks. Learn how to align tools, policies and processes into a cohesive framework that supports enterprise-wide governance. Discover actionable steps to build a compelling business case, standardize global implementation and achieve quick wins that drive executive buy-in.

Join Vincent Amanyi, Founder of Boleaum Inc. to gain practical insights and proven strategies for enabling IGA success at scale.

Key Takeaways:
- Build a persuasive business case to secure board-level approval for IGA initiatives.
- Define a scalable implementation model for geographically dispersed organizations.
- Benchmark and strengthen your organization’s IGA foundation.
- Discover quick-win strategies to accelerate IGA adoption and demonstrate ROI.

Mastering Identity Governance: Strategies for Enterprise Success in 2026

Identity and access management is at a crossroads. Reliant on passwords and centralized directories, traditional IAM can’t meet the demands of today’s distributed infrastructures and increasingly sophisticated cyber threats. As businesses expand their digital presence, they need adaptable, privacy-preserving solutions to safeguard their assets and ensure seamless operations across ecosystems. But implementing these approaches isn’t without its challenges. 

Modern IAM offers transformative opportunities through decentralized identity models and blockchain-enabled verifiable credentials. These replace static identifiers with cryptographically signed proofs, allowing organizations to achieve tamper-proof identity verification, transparent lifecycle management and enhanced privacy. These new solutions align with zero trust principles, paving the way for trust-minimized environments that prioritize security and user control.

Join Yeghisabet Alaverdyan, Senior Researcher and Associate Professor at IIAP MESCSA RA, to share her insights on how the latest IAM strategies are redefining identity management for the modern age.

Takeaways:
- Discover why traditional IAM systems are not suited to modern infrastructures.
- Learn how decentralized identity models enhance security, privacy and user autonomy.
- Understand the role of blockchain in verifiable credentials and tamper-proof identity management.
- Explore how emerging IAM protocols align with zero trust principles. Gain actionable insights to future-proof your organization’s identity strategy.

Modern IAM: Decentralized Solutions for Evolving Threats

Organizations excel at documenting incidents but fail catastrophically at remembering them. Between audits, hard-won lessons evaporate, cultural knowledge resets to zero and enterprises find themselves vulnerable to the same predictable risks that should have been eliminated months ago.

This session reframes security culture as a living control system where organizational memory becomes your strongest defense. Discover how to transform retrospectives into measurable feedback loops, quantify learning as risk reduction and embed institutional knowledge into governance frameworks that create compounding resilience rather than cyclical vulnerability.

Join Oksana Denesiuk, Senior Product Manager at Kaiser Permanente and ISSA Advisory Board Member, to explore proven methodologies for building unbreakable organizational memory.

Key Takeaways: 
- Track how lessons learned translate into behavioral change and improved security posture. 
- Build lasting organizational memory through structured post-incident processes that strengthen defenses over time.
- Measure how well your organization learns from incidents and translate that into reduced security risks.
- Transform retrospectives into measurable feedback loops that prevent incident recurrence. 
- Embed organizational knowledge into leadership and accountability models for sustained cultural transformation.

Transform Security Culture into Measurable Organizational Memory

As organizations embrace AI systems and hybrid workforces, traditional security cultures focused only on human awareness can no longer address today’s complex risks. AI operates at machine speed, influencing decisions and actions in ways that demand a more integrated approach to managing security. Without a culture that accounts for both human and AI behaviors, organizations risk blind spots that could undermine trust, governance, and resilience.

Security culture needs to become a shared model where leadership, governance and incentives guide both human decisions and the design, training and accountability of AI systems. By viewing AI actions as part of the risk landscape and aligning human and machine behaviors with business goals, security leaders can transform culture into a measurable control and a strategic advantage in an AI-driven world.

Join Sandra Estok, CEO & Founder of Way2Protect, to uncover practical strategies for managing security behaviors, bridging human and AI risks, and effectively communicating with executives and boards.

Key Takeaways
- Understand how security culture must evolve to address both human and AI-driven behaviors.
- Learn to treat AI actions as part of the organization’s risk surface.
- Explore practical methods to measure security behaviors in hybrid work environments.
- Discover how leadership decisions shape human conduct and AI system outcomes.
- Gain techniques to communicate human and AI risks to boards in clear business terms.

Evolving Security Culture: Aligning Human and AI Risks for Business Resilience

Since technology cannot keep us completely protected, organizations must embrace a culture of cybersecurity to build true resilience. This cultural transformation is essential to safeguard against risks and ensure readiness to respond effectively when incidents occur.

This session explores how leading organizations are embedding cybersecurity into their values, attitudes, and practices. By fostering a culture of resilience, businesses can strengthen their ability to anticipate, adapt to, and recover from cyber threats. Learn why every manager has a pivotal role in shaping this culture and how to implement strategies that drive lasting change.

Join Dr. Keri Pearlson, Principal Research Scientist at MIT Sloan School of Management, to explore actionable steps for building a culture of cybersecurity that protects your organization and empowers your workforce.

Takeaways:
- Understand cyber resilience thinking and how it differs from traditional protection strategies.
- Discover key mechanisms for fostering an effective cybersecurity culture.
- Gain actionable insights for managers to enhance resilience at work and home.
- Learn from real-world examples of organizations successfully embedding cybersecurity into their culture.

Building Cyber Resilience Through Culture in 2026

Mergers and acquisitions create exponential cyber risk exposure, yet many organizations lack quantified risk frameworks to guide critical business decisions. As cyber threats evolve and regulatory scrutiny intensifies, executives need concrete data to balance growth opportunities against security investments.

Traditional risk assessments fail during rapid organizational change. This session reveals proven methodologies for translating cyber vulnerabilities into financial impact metrics that drive boardroom decisions. Learn to build communication frameworks that align security investments with business objectives while maintaining stakeholder confidence throughout complex organizational transitions.

Join Vincent Amanyi, Founder of Boleaum Inc, to explore actionable strategies for enterprise cyber risk quantification and communication.

Key Takeaways: 
- Develop risk appetite frameworks that identify, prioritize, and absorb organizational risks with minimal business disruption. 
- Master cyber risk quantification techniques that assign tangible dollar values to security threats across all business levels.
- Build structured communication models to effectively convey cyber risk criticality to diverse stakeholder groups. 
- Implement scalable cybersecurity benchmarking practices for growing organizations. 
- Create boardroom-ready risk reports that support strategic decision-making during M&A activities.

Quantify Cyber Risk Impact for Strategic M&A Growth

Breaches have become a daily reality. Dark web activities and emerging threat vectors outpace traditional defenses, creating blind spots that adversaries readily exploit. Without early warning systems, businesses remain vulnerable to sophisticated attacks that could have been prevented.

Effective Cyber Threat Intelligence (CTI) transforms raw intelligence into actionable insights that enable proactive defense strategies. This session demonstrates how to operationalize intelligence, map adversary tactics to business risks, and implement early warning systems that prevent breaches before they occur. Learn to distinguish signal from noise and convert threat intelligence into measurable risk reduction metrics that resonate with executive leadership.

Leverage Cyber Threat Intelligence for Proactive Risk Mitigation

Open-source software drives enterprise innovation, but unmanaged vulnerabilities create operational risks and regulatory exposure. As cyber threats evolve and compliance frameworks tighten, executives face mounting pressure to balance innovation speed with robust security governance.

Traditional approaches to OSS security often create friction between development teams and security requirements, leading to shadow IT practices and increased exposure. This session presents proven frameworks for integrating security into OSS workflows while maintaining developer productivity and meeting emerging regulatory demands like the EU Cyber Resilience Act.

Join Yesenia Yser, Security Engineer and Open-Source Advocate, to explore enterprise-grade strategies for OSS risk management.



Key Takeaways: 

Implement governance frameworks that protect OSS dependencies without slowing development
Create shared accountability between security, procurement, and engineering teams
Apply SLSA, SBOM, and OpenSSF standards to build enterprise-wide security trust
Balance regulatory requirements with collaborative open source community practices 
Turn OSS security management into a strategic business differentiator

Securing Open-Source Dependencies at Enterprise Scale

The current data security and privacy protection landscape is awash with tools, acronyms, buzzwords that promise to make data breaches and privacy incidents a thing of the past. Yet hotel chains, healthcare providers, banks, department stores and even governments constantly fall victim to data breaches, ransomware or nation-state attacks. 

The plain truth is that tools are only as good as the people that use them and the processes that go with it. Two thousand years ago, the Roman empire had better military tools than the nations they conquered. Yet through time, the Romans fell to the barbarians and are merely remembered through their ruins. Likewise, companies with the latest and most buzzworthy technology implemented still manage to fall victim to attacks. 

In this presentation, industry thought leader Ralph Villanueva will tap into over 15 years’ experience of data security and privacy protection to show why ultimately, the people behind the tools and the processes they use matter more in securing your organization’s data. 

Key Takeaways:
 - How to best deploy tools in the most cost-effective way to optimize benefits.
 - How to best deploy tools to mitigate data security risks from internal and external threats. 
 - The importance of a balanced and holistic approach to data security that equally considers people, processes and technology.

Tools are Nothing: Why People and Process Matter More in Data Security and Privacy

Data security has entered a new era, one defined by AI-powered threats, expanding cloud ecosystems, and evolving global privacy regulations. 

This session presented by TD Bank's Pankul Chitrav explores the critical shifts reshaping how organisations must protect sensitive information in a boundaryless digital world. We will break down the top risks, the essential capabilities of modern security architectures, and the must-have tools for protecting data across endpoints, cloud platforms, and AI workflows. From zero trust to automated posture management and advanced data discovery, you’ll learn what’s required to stay ahead of adversaries and maintain compliance. Whether you’re modernising your security program or building one from the ground up, this talk equips you with the insights needed to create a future-ready data protection strategy for 2025 and beyond.

Future-Ready Data Protection: Securing Modern Data Ecosystems in an AI-Driven World

Cyberattacks are continuing at pace and we're regularly hearing of new data breaches. But who is responsible for ensuring the security of personal data? 

Traditional data protection approaches are failing against modern attack vectors. Organizations need future-ready strategies that go beyond compliance checkboxes to create resilient security frameworks. In this session, we'll explore the current risks to personal data & privacy and delve into the range of models that can be used to protect your organizations critical assets.

This webinar will take you through examples of recent data breaches, identifying the challenges being experienced, learning from what went wrong and how best organizations can plan for the future. Such planning will investigate current good practice, adding some “steroids” to them such that organizations can hopefully stay in front of the next “breach”!

Steve Yates – Chairman of the Resilience Association, will share frontline experience about critical data assets security and protection of user privacy.  

Key Takeaways:

- Be aware of the challenges being experienced in the protection of data security & privacy;
- Understand how best to plan your data resources and capacity to meet tomorrow’s defense;
- Discover the core organizational elements needed for the establishment of a strategic, tactical and operational solution

Strengthen Data Security Strategy for Tomorrow's Resilience Defense

AWS infrastructure offers robust native security mechanisms, but the shared responsibility model places critical configuration burdens on app owners. This creates gaps that attackers can actively exploit through misconfigurations, privilege escalation, and cross-service vulnerabilities which can compromise entire cloud deployments.

Security automation emerges as an essential defense strategy for threat modeling, enabling businesses to enforce security best practices from deployment through ongoing operations. Automated security controls provide continuous monitoring, real-time threat detection, and optimized remediation across AWS services. This ensures a consistent security posture while reducing human error and response times.

Join Ernesto Marquez, Founder and Project Director at Concurrency Labs, to explore proven AWS security automation strategies for threat mitigation.

Key Takeaways: 

- Implement automated security controls that enforce best practices across AWS services 
- Deploy continuous monitoring and real-time threat detection for multicloud environments 
- Configure automated remediation workflows for common security vulnerabilities 
- Integrate AWS security automation tools into comprehensive threat modeling frameworks 
- Establish governance policies that maintain security consistency across cloud deployments

Deploy Automated AWS Defenses for Threat Prevention

As cloud supply chain attacks escalate in sophistication, traditional SBOMs alone prove insufficient for comprehensive security. While SBOMs provide valuable component inventories, they lack runtime verification capabilities—creating a critical blind spot that malicious actors increasingly exploit. This gap between static analysis and runtime behavior represents one of the most significant vulnerabilities in modern cloud environments.

The "Bill of Behavior" (BoB) approach addresses this challenge by providing vendor-supplied profiles of expected runtime behaviors. Generated using eBPF technology, BoBs codify legitimate syscalls, file access patterns and network communications. This enables immediate anomaly detection without custom rule creation, allowing organizations to verify software integrity throughout the supply chain and during execution, dramatically reducing the attack surface while simplifying security operations.

Join Dr. Constanze Roedig, Key Researcher at SBA-Research and Founder of Fusioncore.ai, to discover how this emerging standard complements existing SBOM frameworks to create verifiable trust in your cloud ecosystem.

Key Takeaways:
- Understand how Software Bills of Behavior (SBoBs) create verifiable trust between vendors and clients
- Learn practical implementation strategies using existing OCI distribution standards
- Discover how BoBs significantly reduce attack surfaces across both runtime and supply chain vectors
- Explore immediate benefits of receiving vendor-supplied behavior profiles with software packages
- Discover how CNCF Kubescape allows anomaly detection out of the box

Beyond SBOMs: Runtime Verification for Bulletproof Cloud Supply Chains

Organizations are rapidly adopting AI technologies without fully understanding the security implications. This is creating unprecedented vulnerabilities in cloud environments. In turn, with AI accessible to all stakeholders, the human factor has become the weakest link in cybersecurity defense strategies.

This session addresses critical considerations for IT and cybersecurity leaders to balance business innovation with risk management. Learn how to establish ethical AI frameworks, implement proper access controls, and build awareness programs that protect your organization while enabling AI adoption.

Join Kathleen Mullin, vCISO and Consultant, to explore practical strategies for securing AI in cloud environments while maintaining business agility.

Key takeaways:

• Define clear RACI matrices for AI business risk ownership and accountability 
• Assess whether AI solutions truly meet business requirements vs. alternative approaches
• Establish data governance and access controls specifically for cloud-based AI systems 
• Develop comprehensive AI awareness programs for organizational stakeholders 
• Evaluate current and future cloud AI risks within your security framework

Considerations: Securing the Cloud And In Specific AI

As organizations accelerate cloud adoption, sophisticated security technologies often create a false sense of protection while the most significant threats emerge from within. Human behaviour continues to be the weakest link in cloud security, not due to malicious intent, but through everyday mistakes that inadvertently expose critical systems.

When they create friction, security measures designed to protect can inadvertently increase risk as users will find shortcuts to achieve their legitimate objectives. This session explores the psychology behind user decision-making and reveals how threat actors exploit human nature to bypass cloud defenses, turning legitimate business processes into attack vectors.

Join Simon Ratcliffe, independent management & technology consultant, to discover practical strategies for human-centered cloud security.

Key Takeaways:

- Identify psychological triggers that make users vulnerable to cloud-based attacks 
- Recognize how security friction drives risky user behaviors and workarounds
- Design user-centric security that reduces human error without compromising protection 
- Develop indicators to detect insider threats before they escalate 
- Build security awareness programs that create lasting behavioral change

Securing the Human Element: Why People Remain Cloud Security's Top Vulnerability in 2025

Insider threats are one of the most challenging security risks in multicloud environments, where authorized users can exploit fragmented access controls and limited visibility across platforms. When organizations lack comprehensive oversight of user activities, data flows and privilege escalation paths, the risk posed by human error and malicious insiders is much greater.



Multicloud architectures amplify insider threat risks through inconsistent identity management, scattered audit trails, and complex permission structures that create blind spots for security teams. Strategic threat modeling designed around insider risks enables organizations to map user access patterns, identify privilege abuse scenarios, and implement behavioral monitoring across all cloud platforms before incidents occur.



Join Sandeep Tripathi, IT Solutions Designer at Daimler Truck AG, to discover systematic approaches for detecting and preventing insider threats in complex multicloud environments.



Key Takeaways: 

- Identify insider risk scenarios across cloud platforms using threat modelling frameworks
- Implement comprehensive user behavior analytics and cross-cloud activity monitoring
- Limit insider threat impact and lateral movement using zero-trust access controls.
- Develop incident response protocols for insider-driven security breaches
- Create governance frameworks for managing privileged access in multicloud environments

Mitigate Insider Threats in Multicloud Through Strategic Modeling

Every minute your cloud infrastructure grows, it creates new entry points for potential attacks. As organizations rush to embrace cloud innovations, they're unknowingly building digital labyrinths where traditional security measures fall short.

Cloud security threats are often perceived as purely technical challenges, but the human factor remains one of the most significant and underestimated risks. Misconfigurations, weak passwords, phishing attacks, and inadequate training open doors to breaches even in sophisticated environments. Employees inadvertently expose sensitive data through social engineering, while administrators overlook crucial updates. Insider threats pose significant risks when cloud systems are accessible from anywhere.

Join Jyotirmayee Pradeep Kumar, Vice President of Cloud DevOps at a leading global bank, to explore human factors in cloud security threats.

Key Takeaways: 
- Human error as the leading cause of cloud security breaches 
- Phishing attacks and social engineering threat vectors 
- Managing insider threats in distributed cloud environments 
- Essential security awareness training and culture development 
- Zero Trust architecture implementation strategies

Managing Human Risk in Cloud Security Operations

Future Tech's Dan Chaney, VP of enterprise AI and data science solutions, speaks with AI industry experts about how organizations and universities are seeking to educate, recruit, and retain tomorrow's AI leaders.

Accelerating AI & Data Science: Future Tech is at the forefront of enterprise AI & Data Science solutions. We help companied accelerate their use of advance AI & Data Science solutions. Our customized data science workstations can reduce end-to-end data science workflows by up to 80%, helping your team to work smarter, faster and safer. Ask how we can create you the right customized data science workstation stack.

Winning the War for AI Talent

Bringing a Data Science program into large, entrenched companies poses significant challenges on two fronts: First, Enterprises' internal processes, organizational structure and culture pose a barrier to building a successful Data Science program. Second, data science and machine learning come with their own intrinsic challenges. Some problems take longer to solve than others. Furthermore, not all problems are solvable by data science. The speakers share their experience and views on both the Internal and Intrinsic challenges of establishing Data Science as a Core function within Enterprises.

The Essentials to Data Science Success within Enterprises

We are witnessing ever increasing innate human desire to gain insight in every industry and every walk of life. Our professional and personal lives are reliant on data and frictionless data technology to make sense of the insight to achieve significant outcomes. This insatiable human demand can only be fulfilled provided data and frictionless technologies are enabled with free and open approach.

Join me and industry leaders to explore industry trends to democratise data for humans to thrive in a digital data economy, we will discuss:

• What are significant challenges corporate humans (I.e., employees) face?
• Why should they care about this?
• What impact it has on their customers and their company’s success?
• Can AI/ML models ever make these humans effective in a closed data ecosystem?

Debarshi Bandyopadhyay, Principal Consultant & Delivery Partner, Infosys UK Limited
Hari Yedoti, Group Head of Data, Liquid Telecom

The Human Data Democracy

Today, big data has the potential to transform functions, industries, organizations, and governments with an unprecedented impact. Complacency is not an option. You may be asking, “Where are the opportunities?”, “How can we drive business value using data visualization with bottom-line impact?” Join me as we explore these questions and more.

Leveraging Big Data Analytics & Visualization for transformational growth

Automatically detect data issues and understand their root cause before anyone else.  If this sounds like it could save you hours (or days) spent on tracking down data issues and the reason they’re occurring, see how Anomalo can begin automatically monitoring your data for quality issues within minutes. We’ll be looking at simple, fast, and intelligent visualizations of anomalies automatically detected in your data.

Using automated visualizations to ensure confidence in your data

With data quickly evolving into an organizations most vital asset, it has become increasingly important to invest in visualization tools that help generate insights. Companies such as Tableau, Power BI, and Looker have made it easy to create visuals and share information across an organization, but just creating a visual isn’t always enough. There must be a compelling narrative, anchored by facts, to facilitate the communication that ultimately drives decision making. In this session, you will learn the science behind the message your visuals give off and how you can create more engaging visuals for your audience.

The Art of Storytelling through Engaging Visuals

Data monetization is used for realizing a type of competitive capability for organizations. It provides organizations with flexibility for using information assets in response to customer expectations and marketplace exposure.
Traditionally, Business Intelligence and Data Visualization were used only for descriptive analytics on internal data assets. In the recent times, there is increasing adopt of visual analytics in data monetization initiatives. Building a self-serve B2B Embedded Analytics Portal to productize the data offering from an organization.

Summarizing the benefits:
· Analytics application for data monetization strengths the business value of the product
· Improved data exploration and data analysis for a data product
· Consumption of greater volumes of data in less time, which improves operational efficiency
· Early detection of otherwise overlooked trends, outliers, and correlations between data assets, which may result in a competitive edge

Building Commercial Products using BI and Visual Analytics

With cloud permeating everywhere, it has become imperative for all Telco companies to adopt and migrate their data to cloud for all analytic workloads.
How has this effected BI workloads? Do cloud based BI solutions help Telcos?
Does Analytics in cloud deliver simpler path to predictive models? Uniform and standardized workloads?
Does it help in reducing implementation time, better data availability? And scalability of models?
A user’s perspective in Telco

Data Fabric for Analytics & Cloud : A Telco Realty

Businesses today are collecting ever increasing amounts of data but are not extracting its full value. Many professionals struggle with problematic data structures, capability shortfalls and a lack of strategy. 

Join L.E.K. to learn how to make the most of the intelligence at your fingertips to improve your profitability and stay ahead of the competition.

The webinar will be interactive with plenty of opportunities to ask your own burning data questions and learn from peers across range of businesses like yours.

What will you learn?

• How to maximise the potential of the data you already have
• What are the right data strategies and structures to adopt
• How to use data to build commercial advantage

Who should attend?

• Senior leaders across all industries who want to extract value from data
• Strategy heads who want to embrace data-driven decision making
• Finance and Commercial Directors searching for performance improvement
• M&A and Business Development professionals qualifying opportunities
• Transformation teams hungry for data that can fuel change

How to Unlock the Value of Data in Your Business

Data Visualization & Analytics for Business Intelligence

When exploring and visualizing large datasets, you are usually faced with a tough choice between sparsely sampling your data and aggregation. In this talk, we'll show how to use Anaconda technologies to show all of your data, revealing both trends and outliers, and letting you explore even the largest datasets interactively in a web browser.

We'll discuss:
- How Datashader can render your entire dataset faithfully in milliseconds or seconds, with both trends and outliers easily visible. 
- How pairing Datashader with the Python-based interactive tools Bokeh, Panel, and HoloViews lets you work interactively with your data, selecting individual datapoints and local groups for further inspection and exploration
- How to make sense of incoming datasets and make them actionable without getting distracted by tuning plotting parameters or missing out on important insights.

Seeing the Forest and the Trees: Data Discovery in Billion Row datasets

Let’s face it. For all the incredible innovations in modern BI, we still face limitations when it comes to live connections to large enterprise sources. Starburst provides the single point of live access to all enterprise data, wherever it resides, through Trino’s ANSI-SQL MPP engine. With big data access, and used in combination with ThoughtSpot, users can query and analyze billions of rows of data across many sources at speeds thought unimaginable. Starburst and ThoughtSpot give business analysts the tools to ask new questions with easy expanded access to new data sources.

This session with Tom Nats, Director of Customer Solutions at Starburst, along with Sean Zinsmeister, VP of Product Marketing at ThoughtSpot will share how ThoughtSpot, used in conjunction with Starburst, opens new avenues by incorporating new data sources and performing high-speed queries at scale.

Bringing Big Data to Enterprise BI with Starburst & ThoughtSpot

The global big data and business analytics market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 274.3 billion U.S. dollars by 2022, according to Statista.  As there's more data being made available on nearly anything in the world, so is the number of ways businesses can leverage that data. Big data management solutions and technologies are evolving to give companies the best data-driven analytics and predictive insights with unparalleled accuracy.  While there are endless possibilities in what can be done with big data, companies need to know not only how to organize their data but leverage it to get the most out of it.  

Join this panel to stay up to date with what you need to know to plan for 2022 and learn:  

-What trends to look out for in 2022 
-How to sort through and leverage big data to get quality data-driven insights 
-How to use common Big Data technologies 
-How to keep your company up and track real-time data

Panelists:
Pragyansmita Nayak, Ph.D., Chief Data Scientist at Hitachi Vantara Federal
Sandra Carrico, VP, Machine Learning at Sorcero
Sean Hearne, Director, Program Management Office at Fiserv

Trends in Big Data and Analytics in 2022

Data teams and developers continue to serve as the lynchpin for data-centric businesses. As these personas increasingly collaborate, they enable organizations to overcome shortcomings associated with using growing data sets to gain insight. Improving data analytics for real-time business intelligence (BI) and customer insight ranks as one of the business priorities driving the most significant technology spending. In this keynote session, learn how business leaders are modernizing their approach to BI to gain data intelligence faster.

Modernizing Business Intelligence Creates Path to Data Leadership

Data Analytics

Business Intelligence

Customer Insight

Data Insights

Data Virtualization

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Modernizing Business Intelligence Creates Path to Data Leadership

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