Search
Homepage Rankings and Research Companies Channelcast Marketing Matters CRNtv Events WOTC Cisco Partner Summit Digital 2020 HPE Zone The Business Continuity Center Enterprise Tech Provider Masergy Zenith Partner Program Newsroom Hitachi Vantara Digital Newsroom IBM Newsroom Juniper Newsroom Lenovo GoChannelFirst The IoT Integrator NetApp Data Fabric Intel Tech Provider Zone

IBM’s Dinesh Nirmal On Turbonomic Deal, AI’s Obstacles, And How Partners Are ‘Huge’ In Big Blue’s Business Automation Strategy

‘I would say our channel partners have been an amazing help from a skills perspective, from an education perspective, from being able to tell our story,’ Dinesh Nirmal, general manager of IBM’s automation business, tells CRN in an interview.

Back 1 ... 3   4   5   6  
photo

What obstacles lie ahead? Do you see business automation becoming more competitive?

An obstacle that I see is adoption. Anytime you have to take something and work on it, you have to give up on something else. While it’s high on the priority list, some of these things take time. How do I make sure that I really bring AI into it? It sounds great. It will help you with reducing your cost. It will help you with remediation of problems a lot faster. But at the same time, you have to take the time to bring in the AI models, train them, run it, and make sure. So there are some upfront costs.

The strategy is building an automation platform. That’s where I think customers will go and that’s a need in the market. I know a strategy’s working when competition is trying to copy it. I see more and more platform discussions coming about. How do we bring not just RPA, not just process mining, but all the capabilities together to an enterprise.

Competition is good. It keeps us on our toes. It makes us more innovative and want to get ahead. But there is going to be a tremendous amount of competition with new players coming in.

The next stage, that’s going to be an obstacle. Building a bot is not that hard. But that bot being able to do what we want at scale at an enterprise with good security and governance and high availability -- that next phase is where the obstacles will come in. Being able to deploy that bot in a production along with hundreds of thousands of other bots and its resources in the right way. Maybe I wouldn’t call it an obstacle, but it’s definitely something only an enterprise vendor like IBM and few others can do.

 
 
Back 1 ... 3   4   5   6  

sponsored resources