Rocket Companies Q2 highlights genAI, AI returns
Rocket CEO Varun Krishna said artificial intelligence and generative AI was driving process efficiencies and customer experiences behind marketing, product, operations and sales.
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.
Rocket CEO Varun Krishna said artificial intelligence and generative AI was driving process efficiencies and customer experiences behind marketing, product, operations and sales.
The journey for Rivian’s integrated vehicle stack includes a hefty dose of artificial intelligence (AI), machine learning (ML), and cloud computing. Here's a look at Rivian's strategy, AWS and Databricks tech stack and what you can learn from it.
IonQ outlined it roadmap for its quantum computing stack as well as various use cases as it aims to create enterprise grade infrastructure that could offload GPU workloads if successful.
A massive cybersecurity outage crippled global systems, exposing vulnerabilities in our digital infrastructure. A single point of failure brought the world to a standstill, underscoring the urgent need for resilient architectural approaches and better disaster preparedness.
AI Begins And Ends With Nvidia
Despite the massive buzz on AI, only a few core companies that power the Age of AI will succeed. The high capital costs of research and development investment, the time required to take a product to market, and the ability to cross competitive moats create a massive barrier to entry. In fact, only a few vendors have shown significant profits in AI:
Take A Measured Approach To AI Adoption
The rush to AI projects often comes as an all or nothing approach. However, lessons learned from Constellation's Executive Network (CEN) members show a gradual and measured approach. Constellation sees five phases to adoption from both a business and cultural point of view: