Blogs

Why Cloud Pak for Data is the right solution for our clients

Why Cloud Pak for Data is the right solution for our clients

October 14, 2019 | by Durga Prasad Allada, Tech Mahindra
We recommend Cloud Pak for Data to our clients who are considering machine-learning based Data analytics to get best ROI out of the volumes of data they accumulated over the years.
How to build smarter data integration in a multicloud world

How to build smarter data integration in a multicloud world

October 11, 2019 | by Bharath Chari, WW Product Portfolio Marketing Manager, IBM Data Integration & Data Replication
Let’s say you’re the Chief Technology Officer of a bank or retailer struggling to infuse AI that aims to improve customer experiences. You likely face three main challenges: Data sprawl: Your customer data is currently on multiple clouds, including on-premises and a cloud data lake storage...
How to overcome the top 3 AI challenges using data management

How to overcome the top 3 AI challenges using data management

September 9, 2019 | by Kevin Oliver, Portfolio Marketing Manager, Hybrid Data Management, IBM
Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward. In fact, 68 percent of respondents in a recent 451 Research Report, Accelerating AI with...
Making the connection: how SQL on Hadoop brings together data for deeper insight

Making the connection: how SQL on Hadoop brings together data for deeper insight

August 22, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also...
3 reasons you can’t miss the Data and AI Forum this October

3 reasons you can’t miss the Data and AI Forum this October

August 22, 2019 | by Paul Ambraz, Director of Marketing, Data Science and AI, IBM
Is your business ready to harness the power of AI to unlock value from all your data? Are you just getting started on your company’s path to AI – or are you working to scale AI to more areas of your enterprise business? Regardless of where you are on your journey to AI – you should consider...
Discover how to infuse analytics into your business at the Data and AI Forum 2019

Discover how to infuse analytics into your business at the Data and AI Forum 2019

August 20, 2019 | by Letha Wicker, IBM Cognos Content Marketing Manager
The event formerly known as IBM Analytics University is happening again this fall. Join us at the Data and AI Forum on October 21–24 in Miami, Florida. Here’s a preview of what you can get out of this exciting event. For 2019, we’ve expanded the curriculum to include the entire IBM Data and AI...
Easing the journey to AI through full-function, untimed trials and streamlined database upgrades

Easing the journey to AI through full-function, untimed trials and streamlined database upgrades

August 19, 2019 | by Kip Yego, Db2 Product Marketing Manager, IBM
Choosing the right data management solutions as the foundation for AI is crucial. Enabling AI optimization and usability is paramount, as is easy scalability to accommodate the increasing amount of data used by AI applications. This is true no matter where you store your data: on-premises, in the...
6 DataOps essentials to deliver business-ready data

6 DataOps essentials to deliver business-ready data

August 15, 2019 | by Aliye Ozcan, Portfolio Marketing Leader, WorldWide, IBM
Nearly every business is under competitive, disruptive, and regulatory pressures. As companies face digital transformation and modernization to meet their customers’  expectations, leveraging data and AI at the speed of business can be the biggest differentiator. However, according to MIT Sloan, 81...
Why hybrid cloud environments require live data replication technology

Why hybrid cloud environments require live data replication technology

August 12, 2019 | by Holly Vatter, Product Marketing Manager for Data Lake & Cloudera Partnership, IBM
The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve. Data-powered businesses need always-on access to data to keep operations...
Sample-based analysis: A new approach for unstructured data management

Sample-based analysis: A new approach for unstructured data management

August 9, 2019 | by Priyanka Jain, Offering Manager, IBM
Introducing IBM StoredIQ Instascan for accelerated compliance and risk assessments. Read to learn more.

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