AI adoption is rapidly moving from an experiment to an essential part of business practices and planning. Across every industry, more use cases are being developed for AI to drive business efficiencies, optimize data, improve the customer experience and support business goals and initiatives. Companies looking to mature their AI programs should keep an eye out for these important conversations around the adoption of AI tools and technology. Machine learning is a valuable tool that has benefited businesses for decades but only became widely popular recently. In this new era of digital acceleration, companies are looking for ways to drive efficiency in their companies--and for many, the answer lies in automation.

Martin Birch, CEO and president of ibml, has 20 years of experience as a global leader in the intelligent information management industry. AI adoption is rapidly moving from an experiment to an essential part of business practices and planning. Across every industry, more use cases are being developed for AI to drive business efficiencies, optimize data, improve the customer experience and support business goals and initiatives. Companies looking to mature their AI programs should keep an eye out for these important conversations around the adoption of AI tools and technology. Machine learning is a valuable tool that has benefited businesses for decades but only became widely popular recently.

Enter your email to download this post as a PDF. We will also send you our best business tips every 2 weeks in our newsletter. We are living in exciting and innovative times with futuristic technology literally at our fingertips. But for the longest time, small to medium-sized businesses were not serviced by the latest tech trends enterprises have been able to benefit from. In this article, we'll explore these technology trends and how they will impact business in 2018 and beyond.

Any business looking to streamline its processes and move to more efficient models will encounter automation, machine learning, and artificial intelligence along the way. Although in 2020 we're a far cry from sentient machinery taking over, these buzzwords are currently hot property across every industry, from manufacturing to services. So it's essential to understand these terms by definition and the way they interact. Traditionally, there has been a pyramid model for technology with artificial intelligence (AI) sitting at the top. Below are the technological building blocks required as the platforms required for AI to function.

Any business looking to streamline its processes and move to more efficient models will encounter automation, machine learning, and artificial intelligence along the way. Although in 2020 we're a far cry from sentient machinery taking over, these buzzwords are currently hot property across every industry, from manufacturing to services. So it's essential to understand these terms by definition and the way they interact. Traditionally, there has been a pyramid model for technology with artificial intelligence (AI) sitting at the top. Below are the technological building blocks required as the platforms required for AI to function.

Advanced threats, a shortage of security experts and the rise in work-from-home together form a catalyst for MSPs to enhance cybersecurity effectiveness for their customers. As MSPs seek ways to increase efficiency and do more with less, they're turning to advanced analytical capabilities like machine learning, security analytics and automation. All of these have moved past their initial hype cycle and are now adopted and delivering enhanced ROI and outcomes in IT and cybersecurity. "The future of your business is Big Data and Machine Learning tied to the business opportunities and customer challenges before you." Machine learning and automation are more than popular buzzwords in the cybersecurity industry.

Investments in AI, machine learning and network capacity have helped Comcast meet unprecedented internet demands during the COVID-19 pandemic. In a recent interview, the company explained that its suite of AI and machine learning tools provides visibility of its entire network, enabling Comcast to quickly add capacity and troubleshoot issues before performance is impacted. Comcast recently told VentureBeat that its network traffic rose 32 percent in March at the onset of the coronavirus pandemic. It also experienced a 36-percent increase in mobile data use over Wi-Fi on Xfinity mobile during that time. The company's network is accessible to more than 59 million homes in the U.S. through 800,000 miles of cable.

The cybersecurity skills shortage continues to plague organizations across regions, markets and sectors, and the government sector is no exception. According to (ISC)2, there are only enough cybersecurity pros to fill about 60% of the jobs that are currently open -- which means the workforce will need to grow by roughly 145% to just meet the current global demand. The Government Accountability Office states that the federal government needs a qualified, well-trained cybersecurity workforce to protect vital IT systems, and one senior cybersecurity official at the Department of Homeland Security has described the talent gap as a national security issue. The scarcity of such workers is one reason why securing federal systems is on GAO's High Risk list. Given this situation, chief information security officers who are looking for ways to make their existing resources more effective can make great use of automation and artificial intelligence to supplement and enhance their workforce.

Results of our survey, "Making Tough Choices: How CISOs Manage Escalating Threats and Limited Resources" show that CISOs currently devote 36% of their budgets to response and 33% to prevention. However, as security needs change, many CISOs are looking to shift budget away from prevention without reducing its effectiveness. An optimal budget would reduce spend on prevention and increase spending on detection and response to 33% and 40% of the security budget, respectively. This shift would give security teams the speed and flexibility they need to react quickly in the face of a threat from cybercriminals who are outpacing agencies' defensive capabilities. When breaches are inevitable, it is important to stop as many as possible at the point of intrusion, but it is even more important to detect and respond to them before they can do serious damage.

Over time, Watson refines its ability to understand and process unstructured data in the same way a human does. This means that when JSA detects a threat on the network by correlation of ingested data, it can immediately give the security analyst the available context for the threat that would normally consume a large part of their subsequent response time – e.g.