Articles By: Hitachi Vantara
Migrate and Modernize Cloud Applications Securely and Effciently
The latest ESG white paper reviews how and why successful cloud adoption starts with aligning cloud and business strategies. Their research shows organizations continue to implement a hybrid cloud strategy because they still value their on-premises investments in infrastructure. Not only are there technical aspects, but a thorough understanding of the business objectives is needed.
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.
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.
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.
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.
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 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.
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.
