4 days ago

Why ModelOps is an enterprise-level capability under the CIO’s accountability

We all have heard of DevOps and the transformation it has brought to application delivery in enterprises. However, there is another equally powerful emerging capability, ModelOps, which can give the organization of the so-called Enterprise AI a competitive advantage too.

Introduction

Today, artificial intelligence applications are widespread and perceptible even in everyday life. Consider, for example, the ability of a car to brake automatically or not to exit the lane during a curve or, also, to the health sector, where the AI is able to monitor and report anomalous trends as…

COVID has made our Digital Infrastructure a priority

As countries around the world return to various forms of lockdown, decent internet access at home has once again become a necessity. The infrastructure to sustain it though is still lacking.

When the pandemic first hit, the last thing on many people’s minds will have been the resilience of our broadband networks and the impact on the digital divide in our societies. But it’s a challenge that has become all too obvious in the past six or seven months, as service…

How ModelOps Helps You Execute Your AI Strategy

Is model operationalization really necessary? Every single day, companies spend millions of dollars on data scientists, software engineers and AI applications. Most of these companies have no strategy for making the most of their investment. They don’t know how to leverage their technology investment for maximum impact on revenue or profits.

Cool Applications Of Artificial Intelligence.

Artificial Intelligence is a hotter topic today than ever. From self-driving cars to personal assistants, AI is slowly making its way into our daily lives. Artificial Intelligence (AI) is an area of computer science that studies the possibility of thinking computers and machines.

What’s more, it’s no longer a theory…

Model Operations for Secure and Reliable AI

Artificial intelligence and Machine Learning are expressing incredible potential in various application fields; however, very few companies engaged in a 4.0 transition path can successfully implement these technologies in business processes. What needs to be done to make such applications profitable?

Why is AI Important?

Artificial Intelligence represents a set of studies and techniques, typical of information technology but with significant philosophical and social implications, which has as its purpose the realization of programs and technological systems capable of solving problems and carrying out tasks normally attributable to the mind and human capabilities. …

Unlocking the Value of AI in Business Applications with ModelOps

AI is fast becoming critical to business and IT applications and operations.

Organizations have been investing in artificial intelligence capabilities for years to stay competitive, are hiring the best data scientist teams and are investing more and more in artificial intelligence and machine learning systems. However, implementing AI / ML models is not easy and the risk of failure is just around…

Don’t Let Tooling and Management Approaches Stifle Your AI Innovation

Article in partnership with ModelOp

It is no coincidence that companies are investing in AI at unprecedented levels at a time when they are under tremendous pressure to innovate. …

Not one solution, but many: Why decarbonisation relies on industry buy-in

From the Intergovernmental Panel on Climate Change’s (IPCC) recent wake-up call to the latest targets set by the Biden Administration and the EU Green Deal, it is clear decarbonisation is the only viable destination. It is up to Europe’s energy sector — aided by tech — to get us there.

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Lessons from Italy: Why smart city projects can bridge the urban development gap

Giuliano Liguori highlights Italy as an example and warning that pushing ahead with smart city plans should ensure access for the worst off, on an individual and municipal level, as top priority.

It is hard not to feel sorry for urban planners. Faced with the growing pressure to combat climate…

Notes from Industry

Scale and Govern AI Initiatives with ModelOps

What is ModelOps?

Managing models in production is challenging. To optimize the value of Artificial Intelligence, AI models must improve efficiency in business applications or support efforts to make better decisions as they run in production. …

Data Science: A High-Level Overview

In this era, where a huge amount of information from different fields is gathered and stored, its analysis and the extraction of value have become one of the most attractive tasks for companies and society in general.

What is Data Science in simple words?
A brief history of Data Science.
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