By Cheryl Rang, Director of Advanced Solutions, Ingram Micro
In 2011, when IBM’s “Watson” supercomputer robot first wowed the tech industry and a segment of pop culture on the hit quiz show Jeopardy!
, the concept of artificial/augmented intelligence (AI) was still relatively new. But today, AI and machine learning have grown to become critical components of IBM’s hybrid cloud environment—a solution that delivers far-reaching benefits for businesses of all shapes and sizes.
How? By applying AI and automation across a hybrid cloud landscape, today’s businesses can produce intelligent workflows and speed digital reinvention. Decisions can be made faster and with more confidence. Customers have better experiences and employees can focus on higher-value work.
It’s a new world—with data at the core
Since the pandemic, we’ve seen a surge in the need for real-time and up-to-date data. We’ve also seen a rising interest in advanced analytics and data literacy that’s higher than ever. Reacting fast has become critical—in our personal lives, in our world and especially in business.
As leaders seek to reengineer how things get done, the efficiency metric becomes increasingly important; and the shift from passive to proactive intelligence is leading to a new normal where data analytics drive everything.
Today’s businesses no longer want data that tells them what’s happening (or what already happened); they want to get in front of the data to become more predictive, more fast-acting and able to know what to do next.
The case for hybrid cloud: 5 reasons to align with IBM
1. Fast access requires low latency.
To access real-time data quickly and to speed data analysis and predictive actions, businesses need to be as close to the data as possible. To achieve that reduced latency, one would think that data should reside solely in a cloud environment.
But there’s a downside: If businesses move everything into a public cloud environment, the cost becomes considerably high. In fact, in recent months, many companies have tried to counter the high cost of public cloud by putting massive effort into cost optimization. They’re now reevaluating hybrid cloud environments and taking careful steps to identify which are the critical applications that must reside in the cloud or at the edge close to the data source to enable predictive analytics with reduced latency, versus those non-critical applications that can remain on-premises.
2. AI helps determine which analytics should be stored where.
To properly leverage analytics, business data needs to sit in a hybrid cloud environment—but not all data is created equal. IBM Watson AI technology helps determine the best location to store various types of analytics—either in the cloud or on-premises—so businesses can optimize access and reduce latency for those data sets. IBM AI technology also makes it easy to manage the hybrid cloud environment, giving users the best experience possible.
3. In a hybrid cloud, AI can scan more environments.
Consider this: AI is only as smart as the data it can access. It works by scanning across all business applications and vast portfolios to analyze data, recognize outliers and make predictions. So the broader the data portfolio, the more accurate the predictive analytics will be. That’s where IBM shines.
Within IBM’s hybrid cloud, AI technology can scan across more workloads and more environments—looking for ways to improve data sets, cost usage and consumption models. AI technology brings the intelligence to analyze infrastructure (where data resides), applications (how data is used) and environments (where data functions best)—while also predicting outcomes, running simulations, building contingency plans and providing guidance to make forward-looking decisions.
4. Greater access leads to stronger predictive actions.
By having access to more data across more workloads, applications and environments, today’s businesses can better predict the unknown—and better prepare for the unexpected. They don’t need data analytics to react to a change. They want to use data to make positive changes for the future. They want to optimize costs, drive efficiency, improve processes and achieve better outcomes. That’s the power of the IBM hybrid cloud equipped with Watson AI technology.
5. IBM’s longevity has created the most robust AI portfolio.
Because of IBM’s long history with AI—and the rich partnerships it has built over time (like the acquisition of Red Hat)—it offers the most robust portfolio around AI and machine learning.
With years of data that spans numerous applications, diverse verticals and multiple cloud organizations, IBM has the unique ability to unlock, analyze and manage data across a multi-cloud portfolio for practically any business application. No other cloud provider can make the same claim.
The bottom line: AI is more than a clever robot. It’s the brains behind hybrid cloud.
How do you make a hybrid cloud more intelligent? By giving it access to more environments and more data. IBM’s Watson AI technology does exactly that—putting today’s businesses in the driver’s seat.
AI isn’t just a robot you’ve seen on TV. With IBM and Ingram Micro, you can now apply AI to your environments to work smarter than ever.
If you’re ready to help your customers take data analytics to the next level—and align with a hybrid cloud platform that includes the power of AI for predictive analytics—it’s time to discover your path with Ingram Micro and IBM cloud technology.
Ingram Micro offers free consultations
and access to more than 65 IBM-dedicated technology experts in the U.S. These experts can look at the business challenge holistically, identify the right solutions and steer reseller partners toward best-in-class technology and next-generation trends like AI to help organizations better predict where they are going and be ready for what’s next.
Want to learn more about IBM Cloud? Read how IBM is addressing cost optimization and driving opportunities in the “new normal” here
. And watch for our next blog on the value of automation in hybrid cloud environments.
Cheryl Rang is Ingram Micro’s Director of Advanced Solutions for IBM and the recipient of several industry awards—the recent 2021 CRN Women of the Channel Award, and 2020 CRN 100 Rising Females in the Channel.