AI workloads are accelerating but accessing global data and scaling AI remains a challenge. Customers are racing to become more agile and modernize applications for AI to either gain a competitive advantage or in the case of customers conducting research they also need better collaboration along with faster results for their workloads.
The challenges that prevent organizations from achieving the levels of business and operational agility they need to foster innovation and remain competitive in today’s markets should be obvious. You hear them mentioned all the time – growth, speed, variety, and veracity of data. But there is so much more that is creating a sense of urgency for organizations - it’s the underlying services that IT infrastructure delivers, consistently, to enable that agility and enhance workforce productivity without compromising business requirements. To highlight a few that are affecting the way our customers are doing business today, consider the following:
1.The growth of data is constant – leaving organization’s continually facing the challenges of aggregating, managing, governing, and creating new value from their data
2. Organizations don’t often realize there is a problem with their data in advance of a situation. Reacting creates in-the-moment data management solutions that fail to scale as the business grows, applications change, and new data formats are adopted
3.A lack of processes, data management systems, and inadequate data strategies contribute toward data quality issues and untrustworthy data sets.
4. Lack of data ownership is a key shortfall for most organizations. This fragmentation is often across different departments and stakeholders, versus the business as a whole.
5.Many organizations are unable to invoke enough support to improve their data culture. This is often driven by a lack of knowledge or skill set on the proper techniques to Manage data effectively.
6.Lastly, reactive approaches, incomplete processes, fragmented data ownership, and insufficient skills are catalysts that foster single-purpose solution adoption that ultimately traps data in technology silos that ultimately increase compliance and productivity risks for the business
IBM Global Data Platform
Customers need a new approach and a new modern infrastructure to their challenges if they are going to get ahead and reach the full potential of AI and the hybrid cloud.
That's why IBM created the Global Data Platform.
The Global Data Platform provides the foundation to simultaneously connect multiple data sources using multiple data interfaces from edge to core to cloud. We provide “faster access” with “simultaneous parallel data paths anywhere, everywhere and for anyone.
Customer love our results. “We did testing with AI and machine learning workloads with Spectrum Scale and [it] outperformed all other file systems that we tested against.” Senior system administrator (of IBM Spectrum Scale)
“We’ve managed to unify the entirety of the data storage where we’re putting everything into one holistic fabric.” CTO of research and advanced computing (user of IBM Spectrum Scale)
Major US Healthcare research success story