Articles By: Hitachi Vantara

A Modern Model for Preventing Bank Fraud

Globally, fraud costs the economy over $4 trillion each year. TABB Research Group’s report shows that the key to modernizing fraud prevention is to use a range of technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), cloud computing, big data analytics and API technology. Download the TABB Group white paper to learn what financial institutions […]

Read more ›

DataOps e-Book: Moving Financial Services Institutions Into The New Economy

To meet today’s challenges, financial services organizations must bring data resources together to create personalized customer experiences, optimize existing processes through automation, increase cybersecurity and achieve better risk management. Download the report to learn more about implementing an emerging practice, data operations – or DataOps – and create new ways to identify, secure and flow high-value information through your organization.

Read more ›

Data Management Analytics

If you’re not integrating all the relevant data sources for your business – including both transactional data in relational databases and unstructured data from social media and more – you might be missing out. In this paper, Data Management Analytics, you’ll learn: How to get powerful insights by blending data on demand and at the data source Real-world examples of […]

Read more ›

Achieving Intelligent Data Operations

A wide range of challenges have caused a lot of friction within data-driven organizations, requiring multiple technologies for managing, integrating, and controlling the flow and consumption of data from the edge to the cloud and all points in between. According to an IDC survey, more than 60% respondents cited that the top challenge for data- or artificial intelligence–related projects is […]

Read more ›

Cloud Data Management

Cloud data management (CDM) is about managing old and new data in hybrid data architectures that span on-premises and cloud systems. CDM involves database management systems, data integration tools, related platforms, and the numerous best practices users perform with them. The primary goal of CDM is to unify heterogeneous and hybrid data so businesses have complete data they can trust, […]

Read more ›

The Enterprise Data Lake

The data lake is an approach for harnessing the power of big data technology and providing convenient self-service capabilities. This book is based on discussions with practitioners and executives from more than a hundred organizations. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Get […]

Read more ›

Analytics Really Do Matter: Driving Digital Transformation and Smart Manufacturing

A recent survey by LNS Research and MESA sheds light on how analytics and operational architecture are key factors in industrial transformation and how companies are responding to opportunities posed by IoT and analytics. The research team explains why they made an important shift in focus this year, examining “analytics that matter” rather than relying on metrics to tell the […]

Read more ›

The Critical Role of Maintenance and Repair Data for Manufacturers

Managing maintenance and repair processes by averages or set time schedules is not enough anymore. Thanks to the emergence of digitized factories, manufacturers now have access to increasing volumes of operating data that can be used to help optimize maintenance and repair tasks, minimizing unplanned downtime. Read the eBook to learn more about how manufacturing organizations can leverage data to […]

Read more ›