The rise of artificial intelligence and machine learning
The world is changing fast, and a big driver of that change is artificial intelligence and machine learning. And while AL and ML have brought some negatives, including the potential for bias, exploitation, and other misuses, such technologies have thrown open the doors to new ways of approaching just about every facet of business as well as how we go about our daily lives.
As we saw during the pandemic, AI helped researchers develop COVID-19 treatments and vaccinations at speeds previously unheard of. It's also helping to improve outcomes for strokes and other diseases that place an immense burden on the healthcare system. And on the ground, AI is arming firefighters with data to help combat the recent wildfires spreading across big swaths of the country.
Businesses and manufacturing operations are seeing significant benefits as well. Thanks to the intelligence and automation AI brings, organizations are making notable strides in efforts to increase performance and efficiencies, improve processes, and enhance security.
To help you get up to speed on these advances—as well as concerns raised—here are some of our top stories on the impact of AI and ML technologies.
100 years of lazy tech decisions have left women out of voice recognition and reproduction systems. Things may finally be changing.
AI is just software and data, and like other software and data, it can be attacked for profit and malice. What's more, as AI becomes increasingly intertwined with the business, it becomes a more attractive target. When it comes to their AI infrastructure, organizations need to focus on three areas: confidentiality, integrity, and availability.
Developing medicines and treatments at speeds seen during the pandemic is a major challenge, given the security, regulatory, and privacy hurdles. One potential solution is swarm learning, whereby AI is used at the edge to decentralize the analysis of data from multiple locations and then share insights through a learning model that satisfies and bypasses regulatory and privacy concerns.
Artificial intelligence has traditionally been confined to the data center, where powerful computers have been tasked with running complex algorithms that are managed by seasoned professionals. In many parts of the enterprise, that is changing, as the power of AI rapidly makes its way to the edge. And as AI applications continue to shrink, they're increasingly appearing in a device near you.
AI has an efficiency problem. And left unchecked, it's only going to get worse. Part of the problem is that both model training and use in the field consume a lot of energy. But the good news is that both sides can be optimized, with the overall goal of improving the energy and computational efficiency of AI every step of the way.
As use of AI in business and everyday life increases, so too does the potential for its misuse. Because AI output depends on who feeds information into the model and how bias is a growing concern. Iveta Lohovska, principal data scientist and AI ambassador at HPE, discusses the ethics of AI and the questions that keep her up at night.
Enterprises have a data problem: While successful at capturing and storing data, many organizations are still unable to understand the majority of it and apply AI -and ML-powered analytics to solve business problems. Adoption of a truly modern data platform is the answer.
As of Dec. 4, 2020, 52,834 wildfires burned 9,539,554 acres, according to the National Interagency Fire Center. To aid in the fight against these devastating fires, scientists are using AI to predict how big fires might get and where they might spread. AI is giving firefighters on the ground more ammunition too, along with satellites, drones, and cloud computing.
Thanks to automation made possible by AIOps, many network and other IT problems can be resolved within minutes. But what happens if an organization faces a rare problem or one it has never encountered before? That's where peer comparisons step in. When vendors collect telemetry, they can compare like customers with each other, helping one to solve a problem already solved for another.
Global security teams are losing the data theft wars against sophisticated cyberattacks orchestrated by innovative, well-funded criminal organizations. New research from the Ponemon Institute identifies the causes of IT security gaps and provides insights from 4,000 security pros on how they plan to use AI and automation along with other approaches to restore network infrastructure integrity.
One in six people will suffer from stroke. Of the estimated 15 million victims worldwide, six million die every year and another six million are permanently disabled. That's the bad news. The good news is that scientists are employing technology such as AI and blockchain to improve outcomes and minimize the immense burden of this devastating disease.
Many industries are finding uses for drones, especially when combining the data they gather with onboard and ground-based artificial intelligence and big data analytics. Unique commercial uses include capturing complex aerial views, property damage analysis, engineering and transportation, and long-distance deliveries.
AI, at its base, is nothing more than software that simulates intelligence. One specific type of AI all around the Internet is conversational AI, mostly in the form of chatbots. Given the fact that most of us interact with this sort of AI daily, it's important to understand what conversational AI is, why it's become so popular, the obstacles to its adoption, and its likely future.
In the pursuit of better performance, many organizations have turned to flash storage. But flash alone cannot ensure reliable, non-disruptive access to data or eliminate the manual attention needed. With artificial intelligence, infrastructure becomes predictive and disruptions and wasted time come to an end.
Social media appeared to be the perfect modern fix for loneliness and thus a boon to mental health. But studies have uncovered the opposite effect. Today, people everywhere are glued to their smartphones rather than tuned to the people around them. But now AI is poised to reverse that trend, and perhaps become your BFF and therapist, too.
Aerospace companies can optimize manufacturing processes by leveraging AI with high-performance computing technologies throughout the lifecycle of a product. Enhanced processes not only protect budgets and avoid static production rates, but keep businesses ahead of the innovation curve. Learn three ways to get the most from using model-based systems engineering.
This article/content was written by the individual writer identified and does not necessarily reflect the view of Hewlett Packard Enterprise Company.