IonQ’s bet on commercial quantum computing working, acquires Quibitekk
IonQ's bet to focus on making quantum computing applications relevant for enterprises today instead of waiting for quantum supremacy appears to be paying off nicely.
The Chief Technology Officer (CTO) brings technical and business acumen to organization to align technology-related decisions with the company's future. Most times they are responsible for recommending a company's overall technology direction.
On the technical front, the CTO is responsible for setting the technology innovation trends and determining how this is applied to the business. They are also responsible for being a liaison and a two-way link between research, innovation teams, and development teams. On the business front, the CTO is responsible for applying technology macro trends to meet regulatory requirements, achieve operational efficiency, create new innovation models, and identify the new risks that are created by adding these new technologies to the mix. They also make recommendations to the C-suite, CIO in particular, on where in IT enterprises should invest in the future..
The CTO is responsible for spearheading and evangelizing the company's technology strategy to C-suite, employees, board, partners, and investors.
IonQ's bet to focus on making quantum computing applications relevant for enterprises today instead of waiting for quantum supremacy appears to be paying off nicely.
At Constellation Research's Connected Enterprise, I caught up with Erik Severinghaus, Co-founder and Co-CEO of Bloomfilter, to talk process intelligence and software development. Here are some of the takeaways.
Constellation Research's Connected Enterprise 2024 spurred big ideas, a community of tech leaders and dozens of takeaways. It's a fire house of information designed to get you thinking about what's around the corner. Here are the takeaways.
CxOs sifting through the marketing hype of agentic AI should keep process optimization and orchestration in the forefront of planning.
Agentic AI is going to hit sprawl quickly, boardrooms are being reconstituted over fears of being left behind, genAI is still mostly an experiment with fuzzy returns and old-school issues like change management still determine whether companies successfully move from pilot to production.