Digital Transformation

Why an Organization Needs Cybersecurity post-COVID?

Why an Organization Needs Cybersecurity post-COVID?

These are some of the steps an IT team needs to take to ensure that the post-COVID era is safe without harming the business in terms of security. Let's take a look at the below advice.

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

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.

Don't Let Them Get Away With It!

Don't Let Them Get Away With It!

As Cybercrime becomes more and more prevalent, businesses must take cybersecurity seriously

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

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.

Enhancing AI with AI: Improving accessibility and inclusivity

Enhancing AI with AI: Improving accessibility and inclusivity

A key characteristic of technology is its ability to remove barriers and bridge gaps between individuals and within communities. Artificial intelligence, though, is often seen as having a negative effect on human lives. As the world embraces the 4th Industrial Revolution, we’re seeing how AI can improve individual accessibility and community inclusiveness.

Scale and Govern AI Initiatives with ModelOps

Scale and Govern AI Initiatives with 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. ModelOps is the key capability for scaling and governing enterprise AI initiatives across the organization and ensuring that the maximum value is obtained from such enterprise AI initiatives.

Including ModelOps in your AI strategy

Including ModelOps in your AI strategy

Modern organized enterprises recognize that the adoption of a data-driven strategy is crucial to compete in an increasingly digitalized market. Data and analytics have become a very high priority, rising to the board level, which sees technologies such as Machine Learning and Artificial Intelligence as an opportunity to increase business capabilities, making processes more efficient and facilitating the spread of new business models.

Vulnerability Assessment Best Practice

Vulnerability Assessment Best Practice

A vulnerability assessment is a systematic review of security weaknesses in an information system. It evaluates if the system is susceptible to any known vulnerabilities, assigns severity levels to those vulnerabilities, and recommends remediation or mitigation, if and whenever needed.

Difference Between RPA and RDA

Difference Between RPA and RDA

In today’s technology-driven digital era, businesses are constantly looking toward fast, efficient delivery by limiting human actions on certain mundane tasks. Robotic Process Automation (RPA) is the fastest growing technology that’s considered as the first step towards automation of business processes.

 

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Get in touch with the prominent experts within Industry 4.0 and Digital Transformation!

Industry 4.0 is closely associated with more automation (compared to the Third Industrial Revolution), bridging the physical and digital worlds enabled by IIoT, Big Data, IoT, cloud computing, cognitive computing and smart factories.

Investing in innovative Industry 4.0 technologies has many advantages. It boosts collaboration between departments, increases efficiency, fuels growth as well as trims costs. Real-time data and intelligence, predictive analytics and IoT machinery helps companies be proactive when it comes to solving and addressing potential supply chain management and maintenance issues. In addition, it makes it easy to optimise and manage all aspects of manufacturing processes and supply chain.

 

 

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