Large-Scale Data Analytics in Industrial Operations
Have significant advantage over your competitors with large-scale data analytics in industrial operations. You’ll be able to offer reliable products to your customers at lower costs. But, it can be difficult to establish large-scale data analytics thanks to all the siloed data in today’s world.
Engin Cukuroglu, data scientist for Hitachi Vantara’s APAC team, will examine the details of how he helped companies in Asia-Pacific region with large-scale data analytics.
About our speaker:
Dr. Engin Cukuroglu is a data scientist at Hitachi Vantara and helps customers in the Asia-Pacific region. He received his B.S. in chemical and biological engineering and has an M.S. and a doctorate in computational science and engineering. His studies primarily focused on large-scale data analytics in protein-protein interactions. After getting his degrees, he analyzed genomics data and developed pipelines for cancer and stem-cell research. His findings have been published in peer-reviewed journals and he has more than 10 years of large-scale data analytics experience.
Dr. Cukuroglu is currently working with rail operators, mining companies, manufacturers, banks, fleet operators and delivery partners in Asia-Pacific to improve their machine-learning and predictive-analytics strategies.
RecordedMar 25 202038 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 helps tame the data swamp, uncovering data semantics and relationships between siloed data assets. Data lineage is critical to an AI driven enterprise, driving all business decisions while maintaining regulatory compliance. It is also 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 is not static and needs context to make sense to the business. Business rules enable users to leverage metadata to derive sophisticated business specific metadata for your environment.
If you are a data management or governance and risk practitioner evaluating enterprise data catalogs, this webinar is for you. We will walk through key business challenges around catalogs and demonstrate how auto-tagging, data lineage and business rules can help address them.
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 agility. - 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.
Serge Xavier Hodor, Enterprise Architect, Digital Solutions, Hitachi Vantara
As organizations seek to capitalize on an increasing amount of data from edge devices and servers (whether on premise or in the cloud), they can’t afford to be constrained by the latency and bandwidth limitations that comes with data transmission.
In some situations, operational control requires real-time monitoring and analytics capabilities.
Finding how to balance data between edge-based devices and the cloud has become a challenge, which is even truer when considering the need for enterprises to manage and govern data across their ecosystems.
Lumada Data Management solution helps organizations to take such challenge, thanks to its scalable, composable, secure, end-to-end and edge-to-cloud architecture….Let me show you how.
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
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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.
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.