CIO
DECEMBER 22, 2023
Skills: Skills for this role include knowledge of application architecture, automation, ITSM, governance, security, and leadership. These pros are experts in the cloud and stay on top of the latest innovations in cloud technology to better advise business leaders.
CIO
JUNE 5, 2023
It’s no secret that having the right capabilities is essential to digital success, but given the dynamic nature of digital business, these capabilities go beyond technical know-how. The market is tight, but we are not short of people with technical skills; people who can develop, build infrastructure, and understand the cloud,” says Fox.
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CIO
OCTOBER 24, 2023
“To meet digital transformation goals, companies must build structural ambidexterity, focus on short-term efficiency opportunities that fit the current structure and model, but also pursue medium- to long-term discontinuous expansion opportunities in business that potentially would require structural and cultural changes,” Senan advises.
Erik Bernhardsson
DECEMBER 12, 2023
Refer back to matters decided upon at the last meeting and attempt to re-open the question of the advisability of that decision. Encourage technical decisions based on wildly optimistic expectations of scale. Make big talk about strategies, features, or technical complexity. Bring up irrelevant issues as frequently as possible.
CIO
JULY 18, 2023
The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result?
Altexsoft
MARCH 23, 2020
A Chief Technology Officer (sometimes called Chief Technical Officer) is the most skilled technology person in the company. If it’s a tech startup, a CTO is usually a co-founder, the main thinker behind the product. CTO vs CIO vs VP of Engineering vs Technical director. VP of Engineering – tech team management.
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring.
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