Sat.Jul 29, 2017

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Bringing the Best Data Computing to Mobile

CTOvision

With each passing year, leading smartphone manufacturers unveil a wave of new mobile devices. Each new generation of smartphones is more powerful and capable than its predecessors. We are at the level of technological advancement where anyone with a smart device — smartphone or tablet — has enough computing power to complete most of their […].

Mobile 174
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Machine Learning Set to Replace Human Financial Analysts in Forex Trade

IT Toolbox

Machine learning or application of artificial intelligence for predictive data analysis is increasingly becoming integral to various aspects of human activities such as robotics, remote sensing, medical diagnosis and electronic trading.

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Top Five Data Center Stories: Week of July 28

Data Center Knowledge

For your weekend reading, here are the most popular stories that appeared on Data Center Knowledge this week. Read More.

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Focus on risk

IT Toolbox

One of the reasons why organizations have a Quality Assurance department is to manage risk. Specifically the risk that software is broken when it's delivered to customers. In a complex software product, quality, or the risk of poor software product, can really be a challenge for an organization.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Three “I” Factors in Digital Innovation

Future of CIO

Innovation happens only at the organization with the culture of learning to encourage idea sharing and risk-taking. Digital era is the age of innovation. And digital innovation has the broader scope and three phases: Discovery of a problem or new idea, designing a prototype solution and the ultimate delivery of a commercially astute outcome. Innovation is not serendipity, but a systematic process to transform novel ideas and achieve their business values.

Agile 40
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Three Pitfalls in Problem-Solving

Future of CIO

Problem-solving has a very wide scope and takes the interdisciplinary approach. Human progress is fundamentally achieved via an iterative problem-solving scenario. Either individuals or businesses will be more successful when they realize that one of their greatest strengths will be their problem-solving capability. The art of problem-solving is that there are all sorts of problems and there are no one-size-fits-all solutions.