How Can Analytic Innovations Be Delivered with Existing IT Standards?

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From the world leader in analytics comes a modern, open architecture that can conquer any analytics challenge – from experimental to mission-critical. SAS Viya is a single, cloud-ready environment that will serve everyone – from data scientists to business analysts, application developers to executives – with the reliable, scalable, secure analytics management and governance essential for agile IT.

Spotlight

KMD

Together we develop Denmark. KMD is the largest Danish-based IT company and develops and provides software and service solutions for the local, state and corporate segment in Denmark. Our unique domain knowledge, reliability and approach to security and reliability allows KMD today is one of the most recognized and used in the Danish IT industry. KMD's solutions help streamline processes and improve service to citizens every day all year round. Our systems handle example payments of salaries and social benefits. In total, it is to approximately 400 billion. kroner per year, equivalent to more than 20% of Denmark's GDP. KMD also draws tomorrow through new technology. We is behind a new computer for school, which is to make life easier for teachers and increase the learning opportunities. KMD Group has an annual turnover of more than four billion Danish kroner and has about 3,000 employees.

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Artificial Intelligence 2020 Stories: The Great, the Glowing and the Gross Truths

Article | January 4, 2021

2020 has been an unprecedented year where we have seen more downs than ups. COVID-19 has impacted every aspect of our lives. But when it comes to digitisation and Artificial Intelligence, we have seen some impactful developments and achievements. As we approach the end of 2020, it is worth to look back at these AI stories to highlight the truths and discuss what it means for AI future direction. The Great Truth: Artificial intelligence played a crucial role in the detection and fight against COVID-19. Indeed, we have seen the emergence of the use of AI at hospitals to evaluate chest CT scans. With the use of deep learning and image recognition, COVID patients were diagnosed thus enabling the medical team to follow the necessary protocols. Another application was the triage of COVID-19. Once a patient has been diagnosed with COVID, AI has been used to predict the likely severity of the illness so the medical staff can prioritize resources and treatments. COVID has highlighted the need to deploy intelligent autonomous agents. As a result, we have seen both robots used at hospitals to diagnose COVID-19 patients and drones deployed to monitor if the public is adhering to social distancing rules. Another major AI contribution in the fight against COVID-19 is in the area of vaccine and drug discovery. Moderna’s vaccine that has been approved by US Food and Drugs Administration has used machine learning to optimise mRNA sequencing. The above is a proof that AI can make great contribution to mankind if it is used for “good”. The Glowing Truths: Some impressive AI results have been achieved. However, to leap forward a holistic and sustainable approach is needed. 2020 has seen some great AI achievements and leaps forward. The first example is Deepmind’s AlphaFold. The model scored highest at the Critical Assessment of Structure Prediction competition. The algorithm takes genetic information as inputs and outputs a three-dimensional structure. The model has impressively addressed a 50-year-old challenge of figuring out want shapes proteins fold into known as the “protein folding problem”. While Deepmind’s AlphaFold is a great achievement, it is noted by some scientists that it is unclear how the model will work with more real-world complex proteins. Thus, more work is needed in this area. The second example is OpenAI’s GPT3. The model is a very large network composed of 96 layers and 175 billion parameters. The model has shown impressive results for several tasks such as NLP questions & answering and generating code. However, it is noted that the model does not have any kind of reasoning and does not understand what it is generating. Furthermore, its large size makes it very expensive. It is also unsustainable carbon footprint wise; its training is equivalent to driving a car to the moon and back. While both AlphaFold and GPT3 models are both impressive achievements, there are some philosophical challenges/ questions that need to be addressed/ answered. The first question is about games/ simulated worlds vs. real world examples. Most often algorithms/models succeed in simulated world but fail in real world as the environment is more complex. How can we close the gap? How can we make the AI models succeed with complex tasks? I guess the first step is to apply AI to a real-world example with varied complexity levels. The second question is about the structure and the size of AI models. Do models have to be big? Can we come up with a new generation of algorithms/ models that are smaller is size and have more efficient computations? Well to answer this question we have to take a pause on deeplearning and explore new venues. The Gross Truths: Ethics and bias remain the main drawbacks of Artificial Intelligence. Over the last year, we had several prominent examples of AI ethics and bias issues. The first example relates to facial recognition: after several calls against mass surveillance, racial profiling and bias, and in light of Black Lives Matter movement starting in the United States, several tech companies such as Microsoft banned the police from using its facial recognition technology. The second example relates to the use of an algorithm to predict exam results during COVID-19 period: after accusations and protests that the controversial algorithm was biased against students from poorer backgrounds, the United Kingdom government was forced to ditch the algorithm. In the absence of regulations and tightened frameworks, ethics and bias will continue to be the main concerns surrounding the use of artificial intelligence. Looking into the future, AI adoption will continue to accelerate, and we will probably see more breakthroughs achieved by only if we start looking at the subject in a holistic and sustainable view. Focusing models on real world problems and reducing the models carbon footprint will be a major step forward. We need to move away from thinking that “more” is always “more”. Sometimes “more” is “less”.

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How to monitor etcd

Article | January 4, 2021

Learning how to monitor etcd is of vital importance when running Kubernetes in production. Monitoring etcd will let you validate that the service performs as expected, while detecting and troubleshooting issues that could take your entire infrastructure down. Keep reading to learn how you can collect the most important metrics from etcd and use them to monitor this service. etcd is a foundational component of the Kubernetes control plane. It stores your cluster desired state (pods, secrets, deployments, etc.), among other things. If this service isn’t running, you won’t be able to deploy anything and the cluster can’t self-heal.

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TOP ARTIFICIAL INTELLIGENCE FUNDING AND INVESTMENTS IN MARCH 2020

Article | January 4, 2021

What Artificial Intelligence has in its baggage is known to everyone and thus realizing its potential its funding projections are expected to rise to $46 billion spending by 2020. Billions of dollars are being invested by the venture capital industry to catalyze the rapid technological breakthroughs to enable a future where AI seems plausible. Attaining utmost Superintelligence is still a matter of mystery, but today various industries have employed some of the most innovative forms of artificial intelligence to power our daily tasks. Serving with great benefits AI has endless applications. To encourage those innovations, numerous investors are coming at the forefront to ignite the wave of the advanced fourth industrial revolution. Therefore, we have brought you some of the most recent and significant AI funding and investments of 2020.

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Artificial Intelligence Applications: Is Your Business Implementing AI Smartly?

Article | January 4, 2021

The book Design, Launch, and Scale IoT Services classifies the components of IoT services into technical modules. One of the most important of these is Artificial Intelligence (AI). This article is intended to supplement the book by providing insight into AI and its applications for IoT. After many years in the wilderness, AI is back on the hype curve and will change the world again. Or, will it? AI has always been interesting, but what has changed to justify the current hype?

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Spotlight

KMD

Together we develop Denmark. KMD is the largest Danish-based IT company and develops and provides software and service solutions for the local, state and corporate segment in Denmark. Our unique domain knowledge, reliability and approach to security and reliability allows KMD today is one of the most recognized and used in the Danish IT industry. KMD's solutions help streamline processes and improve service to citizens every day all year round. Our systems handle example payments of salaries and social benefits. In total, it is to approximately 400 billion. kroner per year, equivalent to more than 20% of Denmark's GDP. KMD also draws tomorrow through new technology. We is behind a new computer for school, which is to make life easier for teachers and increase the learning opportunities. KMD Group has an annual turnover of more than four billion Danish kroner and has about 3,000 employees.

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