emergingtechnology
What makes generative AI implementations so challenging? As a disruptive technology, it’s being felt in terms of both its magnitude and frequency of change. So many vendors, applications, and use cases, and so little time, and it permeates everything from business strategy and processes, to products and services. One of the unusual challenges with gen AI as a technology, however, is it’s currently in mainstream adoption yet still at the peak of the hype cycle. This is why many enterprises are seeing a lot of energy and excitement around use cases, yet are still struggling to realize ROI. So, t...
CIO
According to McKinsey, only 15% of companies say that gen AI is bringing meaningful bottom-line impact. The more typical experience is to experiment within the classic “tech looking for a solution” trap. CIOs are on the front lines to turn gen AI’s enormous potential into actual value creation. To do so, they can choose one of three approaches. “Takers” use off-the-shelf, gen AI–powered software from third-party vendors. “Makers” create their own LLMs. And then, in between, are “Shapers,” who integrate outside models into existing systems to create customized uses. For many companies, being a ...
CIO
Robots aren’t trying to take over the world; they just want to make guacamole. Adding robots to the guacamole-making process makes sense because preparing the irresistible side is a labor-intensive task for employees of quick-service restaurant (QSR) Chipotle that involves peeling, coring, and cutting up those pesky avocados, amounting to tens of thousands of hours a year. Chipotle’s guacamole is made fresh in each restaurant every morning, too, and it takes an average of 50 minutes to make, resulting in some crew members arriving as early as 6am to prep for the coming day. So for about two ye...
CIO
By Matt Asay Your genAI project is almost certainly going to fail. But take heart: You probably shouldn’t have been using AI to solve your business problem, anyway. This seems to be an accepted fact among the data science crowd, but that wisdom has been slow to reach enterprise executives. For example, data scientist Noah Lorang once suggested, “There is a very small subset of business problems that are best solved by machine learning; most of them just need good data and an understanding of what it means,” yet 87% of those surveyed by Bain & Company said they’re developing genAI applications....
Info World
Typically associated with startups and small developer teams, hackathons are becoming increasingly popular with enterprise CIOs as a means for jump-starting innovation. But ensuring a hackathon produces tangible value for the business can be challenging. And it starts with establishing a meaningful rationale for organizing one in the first place. Enterprises should not organize hackathons because they are in vogue or because leadership hopes to achieve vaguely defined results. They must have tangible and legitimate reasons for doing so. Rock Tsai, CIO of Taiwan Mobile, a leading telco in Taiwa...
CIO
By John E Dunn The ability to index, query, and analyze large amounts of data from real-time sources remains a major headache for anyone involved in building database systems. Data retrieval takes time and even that assumes that the nature of the queries lie within certain parameters. Overcoming the issue is possible but can be resource-intensive and involve complex engineering. Meanwhile, the use cases for real-time data continue to multiply, not least in artificial intelligence (AI) applications connected to cybersecurity automation, fraud detection in financial services, and business analyt...
Info World
By Matt Asay Just like big data back in 2013, we’re in the “everyone’s doing it, no one knows why” phase of generative AI (genAI). A recent McKinsey survey found that 65% of enterprises are “regularly using genAI.” Promising! In Elastic’s recent earnings call, the company noted that over 1,000 customers are paying to build genAI applications. Wow! Each of the big cloud companies, as well as Oracle, has talked up how genAI is driving cloud spend. Amazing! Maybe. Maybe not. Peel back the headlines and we’re still seeing genAI as aspirational, not necessarily transformational for most companies. ...
Info World
La sostenibilidad es más que una tendencia. Es una necesidad y una responsabilidad que las organizaciones de todo tipo deben asumir para garantizar el bienestar de las generaciones presentes y futuras. En este contexto, en el que la sostenibilidad es un imperativo ético, social y económico que afecta a la reputación, competitividad y supervivencia de las organizaciones, ¿cómo se puede pasar de la intención a la acción? ¿Cómo se pueden medir y comunicar los resultados? ¿Cómo se pueden identificar y priorizar las áreas de mejora? La respuesta está en los Sistemas de Información Geográfica (GIS, ...
CIO
El Gobierno de Navarra y el Ayuntamiento de Pamplona apuestan en firme por la tecnología de vanguardia. Ambas partes han suscrito un convenio para trabajar conjuntamente en la puesta en marcha del que será el primer gemelo digital territorial de Pamplona. Se trata de una réplica digital de la región que integrará datos geoespaciales, información de infraestructuras y sistemas, así como datos socioeconómicos. Esta representación digital permite simular y analizar diferentes escenarios, gestionar recursos de manera eficiente y tomar decisiones basadas en datos para mejorar la planificación urban...
CIO
By David Linthicum European banking executives are increasingly concerned about the growing dependence of big U.S. tech firms on integrated artificial intelligence (AI) in financial services. Substantial computing power is needed for AI, and many banks believe they will struggle to operate AI independently. They fear a shift towards “Big Tech” and “Big Cloud” due to AI adoption requirements. These concerns were widely discussed at a recent fintech conference in Amsterdam. I wish I had been there to remind them that they have direct control of the technology they deploy, and large companies and...
Info World
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