Data at Work – Leadership: How do you become a leader in data?
Data at Work – Leadership: How do you become a leader in data? What difference does a good data leader make?
In our podcast focusing on Data Leadership, our panel of experts discuss the common attributes of good data leadership, to strategize and create advocacy, so that best practice and data insight techniques are adopted across the organization. Using early business gains to establish buy-in is highlighted, along with the practicalities of data leadership within specific roles – including pitfalls to avoid and techniques to adopt.
Johanna Hutchinson - Head of Data for the Pensions Regulator UK
Peter Jackson - Director - Group Data Sciences at Legal & General
Oylum Tagmac - Head of Emerging Solutions & IoT, EMEA at Hitachi Vantara
RecordedMar 19 202029 mins
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Randy Duran, Senior Manager, Customer Success, Hitachi Vantara
See how to build effective data catalogs with thoughtful input, a sharp focus on business objectives – and the experience of those who have gone before. Modern data catalogs are used by leading organizations in industries like Financial Services, Healthcare, and Manufacturing. They incorporate best practices that can help you avoid the traps and pitfalls that others have already experienced. This session shows you production-proven, operationally-sound best practices to make your data catalog implementations smoother and more successful.
AI driven auto-tagging and business rules enable users to leverage second-order metadata with business logic to create tags specific to your organization. This enables sophisticated data operations within the Enterprise that are customized for your particular needs.
Additionally, data lineage is also critical to driving business decisions while maintaining regulatory compliance. Lineage is difficult to implement at scale, not only because large quantities of data across numerous systems must be inventoried and tracked, but also because the data isn’t static and needs context to make business sense.
If you are a data management practitioner evaluating enterprise data catalogs for auto-tagging with business rules or data lineage, this webinar is for you. It will discuss how to apply business tag-based rules and data lineage to your data environment. The webinar will showcase a LIVE demonstration on how to apply these techniques to your environment.
Duane Rocke, Principal Consultant, Digital Insights, Hitachi Vantara
Navigating the complex web of product- and professional services offering for data management can be a daunting task. How to best answer questions like: How can I best meet my DataOps and business needs? What’s the right product or set of technologies? Whom can I trust with my time and budget? We’ll look at four real-world consulting examples to examine why experience is as valuable as expertise to successfully meet your needs, mentor your teams for future success, and build productive business relationships you will be able to rely on.
Mike Wilkerson, Hitachi Vantara and Andre Boaventura, Amazon Web Services
Are you using more and more unstructured data to make your data-driven decisions? Most of us are and data lakes are now necessary for implementing big data initiatives. In this session, you’ll learn how to build and manage a data lake in AWS cloud within 90 minutes. With our Hitachi Cloud Accelerator Platform and AWS blueprints for data lakes, you can unlock and deliver values together. In this session you’ll get:
• The building blocks of a composable data lake
• How to manage your composable data lake
• Hands-on experience with solving new use cases
Ben Clifford, Ken Steinberg and Madhup Mishra, Hitachi Vantara
How do you keep the power of Hadoop from overpowering your IT costs and data center overhead? You can’t toss it out but you can control while optimizing it for your company’s goals. In this session, we will discuss new strategies for Hadoop modernization by non-disruptively optimizing the data you use less frequently. We’ll guide you through a deep dive into Lumada Data Optimizer to show you how to enable exponential big data growth at a reasonable cost and without disrupting your application environments.
Scott Dabney, Enterprise Solution Architect, Hitachi Vantara and Muthu Chinnasamy, Sr. Technical Director, Partners, MongoDB
Is your most valuable business data trapped in legacy databases? Is your data siloed, complex, growing in volume and variety? Relational database management systems (RDBMS) have become the bottleneck to business innovation, slowing down business innovation. - MongoDB in combination with Pentaho helps you meet this data challenge. You can innovate your legacy applications no longer throttled by monolithic RDBMS backend. And you create the operational data stores needed to unify your data. Join DataOps experts from MongoDB and Hitachi Vantara to learn how to accelerate data ingestion and migration.
Naveen Das,Big Data Solutions Architect, Hitachi Vantara and Tarik Dwiek, Director - Technology Alliances, Snowflake
One of the toughest challenges for data professionals today is migrating data from on-premise environments to the cloud. Many companies still lack the tools and infrastructure to ingest and process complex datasets to achieve critical business outcomes. Tune in for a joint-session with Snowflake and Hitachi Vantara as we discuss best practices to address common edge-to-multicloud issues and how our joint offering can dramatically simplify data preparation, migration, and analytics tasks to help deliver analytics-ready data in the cloud.
John Stegeman, Master Solutions Consultant, Hitachi Vantara
As your organization continues to work with more and more data, you might feel like drowning in a sea of data: Data is coming at you from more sources and at a faster pace than ever. Your business users face their own challenges with all this data, too. How can they find what they need, assess its quality and trustworthiness so that they can get on with driving outcomes for the business? In this session, we'll show how Lumada’s AI-driven data catalog can automate your process of discovering, profiling and tagging your data so that both your technologists and your business users will rapidly find the data they need.
Mike Williams, Global Solution Lead, Hitachi Vantara
To gain the full benefits of the DataOps strategy, your data lakes must change. The traditional concept of bringing all data to one place, whether on-premises or in the cloud, raises questions of timing, scale, organization, and budget. The answer is the data fabric. It replaces the traditional data lake organization concepts with a more flexible and economical architecture. In this session we will define what a data fabric is, show you how you can begin organizing around the concept, and discuss how to align it to your business objectives.
Bill Schmarzo, Chief Innovation Officer, Hitachi Vantara; Gordon MacMaster, VP of Analytics, Reliable Software
Abstract: Data is the most valuable asset of a business. Unlike other assets, data not only never wears out or depletes, but it actually gains value (more accurate, more complete, more reliable). A systematic approach to data and analytics that recognizes data as an economic asset brings tremendous benefits, but more importantly cost savings!
Hitachi Vantara and its strategic partner, Reliable Software, will share practical methods and advice on defining the value of data and how to realize that value in your organization.
Join us for this fireside chat to see how to build out your organization’s data and analytic capabilities - one use case at a time. Realize the benefits of embracing the economics of data and analytics and how it can help deliver on your bottom line.
Mark Bouldin, Hitachi Vantara and Claudia Bacco, Airports International
Airport operators are faced with incredible complexity and the need to manage a consistent, safe experience for passengers, while having to manage a variety of siloed organizations, much like a city. Hear from industry and technology thought leaders to learn about new strategies based on best practices and industry expertise. Digital solutions powered by artificial intelligence (AI) and the Internet of Things (IoT) can help airports to:
- Improve on-time performance
- Maximize safety throughout the passenger journey
- Enhance the customer experience
- Optimize in-terminal retail to drive revenue
- Unify airport data on a single pane of glass to improve operations
Bill Schmarzo, Larry Bradley, Paul Watson, Sid Verma, Suranjan Som, Mario Mantog
Supercharge your business by monetizing the value of your data
Part I – Exploiting the Economic Value of Data – Industry Overview
• CIO Challenge: Data Monetization
• Understanding the economic characteristics of data
• How leading organizations are transforming their data lakes into data monetization platforms
Part II – Panel Discussion with Industry Experts from Hitachi Vantara
• Top data-centric, analytics-driven business opportunities in different industries
• Building a data strategy to meet regulatory requirements
• Using data lake to achieve agility in operations and faster time to market
• Getting real-time insights from data leading to reduction in cost and the ability to offer new innovative services to clients
Part III – Business Drivers of Cloud Data Lake
• Get a 360-degree customer view
• Gain real-time insights from multi-channel data
• Enhance decision-making ability with unstructured data
• Achieve highly scalable data management and analytics at low cost
• Provide ease of use through virtualization and universal semantics
Anand Rao, Hitachi Vantara and Ganesh Thondikulam, Kaiser Permanente
Quality analysis of business data provides competitive advantages. However, comprehensive, and timely data discovery to feed analyses is hard. It can involve manually tagging data, ineffective collaboration, and data sensitivity. Consequently, enterprises lose analyst productivity, make decisions on inadequate analyses, and delay complying with regulations. Join us to learn how metadata automation, built-in collaboration, and open and customizable architecture allows organizations to use trusted data to become more collaborative and agile.
Bill Schmarzo, Larry Bradley, Paul Watson, Sid Verma, Suranjan Som, Mario Mantog, Phil Gruber
Join experts from Hitachi Vantara as they discuss the economic characteristics of data and how it can be monetized to transform the way businesses operate and interact with customers and consumers in different industries.
Fred Oh, Principal Product Marketing Manager, Lumada Edge & IIoT Analytics & Jim Morrish; Founding Partner; Transforma Insigh
Predictive analytics, operational efficiency, reduced operating costs, and higher quality – the promise of industrial internet of things (IIoT) is real and growing. So what’s holding organizations back?
Turns out, “going IIoT” isn’t as simple as adding a few sensor feeds to your equipment. Rather, IIoT is an architectural disruption: Every aspect of tech infrastructure, from networks to app servers to storage and clouds, needs to handle the onslaught of raw data, while machine learning (ML) - driven advanced analytics demand evermore system flexibility.
Learn how Lumada software, Hitachi’s IIoT DataOps suite, can help you innovate with IIoT analytics while protecting your existing IT and OT investments.
Join this webcast to learn about companies that are successfully doing this today, the obstacles and pitfalls they’ve learned to overcome, and key considerations for success.
John Choate, David Musci, Prashanth Muniraju, Ben Maphis
Are You Using Cloud to Realize Your True Business Potential?
• The Cloud Vision
• Align Cloud Strategy with Overall Business Strategic Plan
• Fast Track Modernization to Achieve Accelerated Growth and Speed of innovation
• Automate Management to Optimize Cloud
• Sestra Systems Cloud Success Story
• Q&A Session
John Choate - Director, Digital Modernization, Hitachi Vantara
David Musci - Director, Cloud Migration Services, Hitachi Vantara
Prashanth Muniraju - Director, Digital Solutions, Hitachi Vantara
Ben Maphis - Vice President, Engineering, Sestra Systems
Bill Schmarzo, Chief Innovation Officer, Digital Solutions, Hitachi Vantara
Data and analytics not only never wear out or deplete, but they actually gain value (more accurate, more complete, more reliable) through a systematic approach that treats them like economic assets.
Join us in the session to see how to build out your organization’s data and analytic capabilities one use case at a time. See the benefits of embracing the economics of data and analytics to drive your organization’s digital transformation.
Succeeding with Internet of Things (IoT) hinges on your ability to collect, analyze and act on data. With evermore sensors, videos feeds and OT systems, effective edge data management is more important than ever, and can even become critical to your ability to compete. You need to implement the right strategies and technologies to collect, transport, store and process IoT data, to drive the ROI your business expects.
Join our experts and learn how Lumada Edge Intelligence can help you address this challenge and simplify data-driven business decisions in industries such as manufacturing, energy / utilities, and transportation.
John Stegeman, Master Solutions Consultant, Hitachi Vantara
The growing waves of data you’re pulling in include sensitive, personal or confidential data. This can become compliance nightmare, especially with rules around PII, GDPR and CCPA. Especially as it takes simply too much time to manually decide what should be protected.
In this session, we will show how AI-driven data catalogs can identify sensitive data and share that identification with your data security platforms to automate its discovery, identification and security. You will see a demonstration of how this dramatically reduces your time to onboard data and make it safely available to your business communities.
Noah Schneider, Senior Consultant, Advanced Services Group (ASG), Hitachi Vantara
Are you ready to harvest the massive real-time data that your organization generates? Mastering streaming data is critical to gain an edge in business, in every industry. But most businesses still rely on batch and incremental processing. If that’s you, don’t despair. Join this session to understand key concepts, common technologies and best practices you need to succeed with streaming data. You will also learn about the Hitachi Vantara streaming data stack and how we can help you meet your goals. The session is led by an expert in the field, who has implemented IoT solutions and streaming data integration pipelines for organizations across North America.
Looking for the latest information on Big Data, the Internet of Things (IoT), Data Integration, and Predictive Analytics? Then join our channel to hear from industry thought leaders, Pentaho customers, and Hitachi Vantara experts as they discuss everything from how to turn data into valuable insights with embeddable analytics to how to accelerate value with Hadoop, NoSQL, and other data sources.