BBBT

Focus on Automation through Innovation

When a large financial services company couldn’t find an ETL tool for their Cloud needs, we built one for them. Bitwise provides technology leadership that enables business with our innovative technology solutions that take the time, complexity and cost out of storing, moving and leveraging data. In this session, our team will showcase a unique suite of data tools developed to solve specific ‘real-life’ customer challenges, including ETL conversion, ETL testing, ETL for big data and conversion of mainframe data to Hadoop.

Business Cloud Platform Update

Domo will provide an overview on its Business Cloud platform and how Domo brings together relevant data and social insights for real-time business optimization across the enterprise. Through demos and customer examples, this presentation will show how Domo is revolutionizing the traditional business intelligence and analytics space to deliver self-directed enablement for decision makers and at a rapid speed of implementation. Domo will highlight case studies that show how customers are receiving in some cases over 400% ROI in less than a year. Domo will highlight recent platform updates including Domo’s Business in a Box with role-based dashboards; Domo Everywhere that allows customers new options for sharing through embed and publish; and Domo Analyzer with new features that enables users the ability to explore data inside a visualization, advanced annotations.

Introduction to ZENOPTICS, a new way to profit from Data

Unlike anything else on the market, ZENOPTICS protects your existing BI & A assets and drives user productivity by adding Data Cataloging, Data Curation, Data Governance, Metadata Management, Data Certification, and Data Sharing from within a single user interface. ZENOPTICS is an end-to-end data management solution for end data consumers and well as IT data architects – driven from the BI & A interfaces you have today. You have to see it to understand why we call this a Virtual COE.

Advances in the Culture of Data: Data governance, socialization, cataloging and collaboration

Providing technology solutions that enable the entire organization to contribute to the improvement of data analytics through data socialization, data stewardship, gamification, communities and collaboration on all formats and types of data is Datawatch’s vision and unique differentiation in the data market. Join Rami Chahine and Rachel Bland as they unveil the next generation in self-service data preparation.

Teradata Everywhere™ and the Modern Analytical Ecosystem

Teradata is unique in the industry. Organizations around the globe rely on our winning combination of products and solutions that support a modern analytical ecosystem. During this presentation, Teradata VP of Product Marketing Ed White will tell you all about Teradata Everywhere™: the industry’s first combination of Software Bundles, Portable, Subscription-Based Pricing, and “As a Service” delivery that makes it easier to leverage Teradata’s best-in-class analytics capabilities at scale to solve virtually any business challenge. Real-world examples of industry use cases and customer implementations will give you a feel for how Teradata Everywhere is bringing value to organizations across the globe. As Teradata looks to the future, Ed and Chad Meley, Teradata VP of Product Marketing for Analytic Ecosystems, IoT and Artificial Intelligence, will discuss two of the year’s most hyped buzzwords: Machine Learning and Artificial intelligence (AI). We’ll open up the discussion to hear from you on what is going on around us, what’s practical, and where we’d all like to see this technology evolve in the next two years.

Cloud-scale Data Fabric: Intelligent Applications from the Edge to On-Premises and the Cloud

With the exponential growth of data volumes and rigid infrastructures, moving data and integrating analytics with operational processes is becoming increasingly difficult. The resulting data silos make it even more difficult to derive meaning and intelligence from the valuable data.

The unique MapR Platform enables the creation of data fabric with a global view of data and metadata, supporting a wide diversity of data types for both analytics and operations.

Automated Machine Learning with DataRobot

Machine learning dramatically improves decision making via sophisticated predictive analytics that learns patters from historical data. With Data Scientist in short supply is preventing businesses from realizing their full potential.

Scaling BI and Beyond: Native Visual Analytics & Apps for Big Data

The future of scalable enterprise software and applications is tightly bound with Hadoop and other massively parallel, distributed systems. The big data movement has required scale-out data storage and platforms, but analytics systems have not kept up, with the exception of data-engineering-led organizations who can wrangle and build data applications and analytics with data science, math, and code.

Therefore, in order for the modern enterprise to keep up with the scale of big data, visual analytics and business intelligence (BI) systems must re-architect to a similar distributed, scale-out approach, which is core to the next phase of the big data movement and digital transformation.

Arcadia Data was founded to bridge the gap between business analysts and big data systems, founded by innovators from Teradata (Aster Data), 3Par, and IBM.

Digital Transformation & the SnapLogic Enterprise Integration Cloud (EIC)

The SnapLogic Enterprise Integration Cloud is a new integration category that re-imagines integration to bring agility and self-service by empowering business users to collaborate on an integrative foundation for today’s digital enterprise. We will discuss how to enable digital transformation through pre-packaged solutions in areas such as Human capital management, financial processes, Mergers, and Acquisition, etc. Next, will be the application of Artificial Intelligence including Machine Learning to improve and reduce the time to Integrate data, applications, and “Things.” Then, we will discuss the emergence of cloud data warehouse technologies including Data Lake and its movement to the cloud through companies such as Redshift, SQL DW, and Snowflake. The session will wrap-up with a discussion of a multi-cloud strategy and the importance of a vendor and technology-neutral role to support the emergence of an entire ecosystem in the cloud.

Data Driven Possibilities in a Post-Fact World

In a post-fact world the ability to access, argue with, question and digest the right data at the right time becomes critical. Our relationship to data in the corporate world is changing rapidly – moving from an IT-centric core to a user-centric model. Whether we call them line-of-business professionals, citizen data-scientists, or customers, everyone needs instant access to insights that change their world views.