Let’s face it: The big data game is kicking the pants off of everything that we’ve ever valued as a social commodity within anyone’s digital reach. In fact, data is so hot right now that even the value of oil has been told to go sit in the corner of the room, be quiet and color. Yep, you too King Cash. This also explains why your data by itself, as a standalone asset, is not considered as ‘valuable’ as you would think.
Hearing loss is a rapidly growing area of scientific research as the number of baby boomers dealing with hearing loss continues to increase as they age. To understand how hearing loss impacts people, researchers study people’s ability to recognize speech. It is more difficult for people to recognize human speech if there is reverberation, some hearing impairment, or significant background noise, such as traffic noise or multiple speakers.
Artificial Intelligence (AI, also called Machine Learning) is certainly making its way in the world. Technologies such as Voice Recognition, Face Recognition, Predictive Analytics, Self-driving cars, and Robotics are now becoming embedded into our society. With the advent of big-data, these technologies can become more and more powerful and more and more a part of our everyday lives. I'm sure that there is much controversy over this. I'm sure that many people consider it invasive.
DevOps plays a critical role in today’s business landscape, enabling organizations to automate and innovate swiftly at a time when digital transformation projects put a premium on those capabilities. The benefits of DevOps, though, can only be relied on when related security risk mitigation is considered and embedded into DevOps processes.
Change is critical to growth. Especially if you’re running a business in today’s volatile market. The silver lining is that we are at the peak of innovation, moving forward from a decade filled with disruptions, catalysing transformations. Over the years, enterprise IT has evolved to play a more significant role in business. Innovation, macro-economic factors, unexpected disruptions, and other internal and external factors have caused the change.
Digital Transformation is, nowadays, a buzzing world in industry, which everybody wants to utilize and apply in their business. Nevertheless, it is also starting to be a major cause of confusion, empty promises and big words with no real impact on business performance. Why is there such an extreme dichotomy in the most important enabler for our Future Digital Energy Systems? According to McKinsey, Deloitte and many more consulting companies, over 70% of digital transformation initiatives have failed.
More than 2.14 billion global consumers are expected to buy goods and services online in 2021, according to Statista. That is up 29% from 1.66 billion digital customers just six years ago. This rapid change in shopping habits is driving retailers’ digital transformations and ever more advanced technologies. Many retailers have begun automating back office functions like claims processing, accounting and inventory management.
Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in certain cases 70 years old. Some might contend that many of these older methods fall into the camp of ‘statistical analysis’ rather than machine learning, and prefer to date the advent of the sector back only so far as 1957, with the invention of the Perceptron.
A few stories have emerged lately about how companies are having difficulty hiring enough people to fill key positions. These articles allege that automated talent acquisition (TA) or Applicant Tracking Systems (ATS) reject millions of candidates solely due to minor flaws in their applications such as gaps in their work histories, failing to meet a long list of exacting job requirements, or failing to use the language of the job description on their resume.
For many traditional, labor-intensive industries, the rapid digitalization of the world and the professional sphere is a situation that is difficult to embrace but one we must face. Digital transformation is usually a long and tough process. It requires a clear strategic vision, open-minded employees who are ready for change and sufficient digital-savvy workers in the company.
