Rena is a Director of Custom Research at Current Analysis, specializing in Delivery Management. She is responsible for ensuring the delivery of actionable recommendations and guidance to clients to assist them in formulating their market development and execution strategies. Her expertise is in telecommunications and IT services, including business networking , communications, data center, security, and business continuity services.
A shortage of skilled AI professionals is one of the biggest hurdles to broader AI adoption by enterprises.
Salesforce is embedding its solutions with Einstein-powered AI to make the technology more accessible to non-data scientists.
Businesses need artificial intelligence (AI) solutions that can be easily adopted and manipulated by line-of-business users. Although many organizations are eager to adopt AI, they are often held back by a lack of access to data scientists that can curate data and develop AI models that address their specific needs. This skills shortage is one of the top hurdles facing organizations when it comes to operationalizing AI. And it is precisely this challenge that Salesforce is looking to address by embedding its solutions with Einstein-powered AI. Continue reading “Operationalizing AI for Broader Adoption”→
• Concerns over the accuracy of facial analytics have prompted IBM to release a dataset of over one million facial images, including facial coding, that can be used to train facial analytics software.
• Improving the results of facial analytics will bolster public confidence in the technology, promoting adoption by enterprises.
IBM has released a dataset of over one million facial images to the global research community to combat bias in facial recognition software. The announcement comes after researchers from MIT and the University of Toronto made claims that a well-known competitor’s product misclassified women at a higher rate than men, with error rates for darker-skinned women far surpassing error rates for lighter-skinned women. With women accounting for roughly half of the world’s population, inaccuracies in their classification present a serious threat to facial recognition adoption. Continue reading “IBM Releases Images to Improve Facial Analytics Accuracy”→
Ford announced plans for self-driving taxis and delivery services; it expects to launch its fleet in Washington, D.C. in 2021.
Ford is one of many companies around the globe that is developing commercial autonomous vehicles.
Soon, if you need a ride to the airport, to the pub, or just around town to run errands, you’ll have another decision to make. Do you hop in a cab? Request an Uber? Or, perhaps… you take a self-driving taxi. What just a few years ago seemed like futuristic technology right out of a sci-fi movie will be here before you know it. Continue reading “Need a Ride? Call a Self-Driving Taxi!”→
• Companies specializing in facial recognition raised sizable amounts of capital from investors in 2018.
• In the coming year, facial recognition will yield new use cases, but will also bring new ethical concerns to the forefront.
Facial recognition is a hot topic. During 2018, several companies active in image recognition, and specifically facial recognition, raised sizable amounts of capital. China-based Sensetime raised an additional $1 billion in September of 2018, bringing the company’s total funding to $2.6 billion. After its Series D funding in July 2018, Megvii’s Face++ had raised a total of $607 million.
During 2019, investment in companies pursing visual recognition and developing new applications for the technology will likely accelerate. Given recent trends, there is a strong possibility that much of this new funding will be flowing into China, which has been very public about its aspirations to lead the global AI arena. Continue reading “Facial Recognition to Spark Lively Debate in 2019”→
• 2019 will bring renewed efforts by IT services providers (ITSPs) to shore up their local presence, particularly international players that have traditionally serviced their client base via an off-shore or near-shore model.
• To remain competitive, ITSPs must change the nature of their client interactions, which will require deeper relationships to implement transformative solutions.
Most of the large, global IT services companies generate a substantial portion of their revenue from the U.S. market. In the past, U.S. clients were often served in large part by international teams based overseas or by teams brought in from other countries to support specific tasks or projects. However, the changing political climate in the U.S., and its potential to impact the issuance of H-1 visas, as well as the evolving nature of client engagements, has caused many organizations to reevaluate their localization strategies. As a result, several large players are growing their U.S.-based teams and hiring local employees. It’s a strategy that has extended beyond that U.S. and has been applied to other countries as well. Continue reading “Digital Transformation Requires a More Local and Collaborative IT Services Partner”→
CenturyLink has ambitious plans to leverage its newly acquired assets and establish itself as a formidable player in the global arena.
Not only is the service provider targeting North American organizations with international connectivity requirements; it is also pursuing multinationals headquartered overseas, a move that sets it apart from some of its peers.
There is no shortage of service providers that have looked to broaden their footprints and establish themselves as global carriers. Some have been more successful than others, and several have come and gone. Many, such as AT&T, have chosen to follow their customers, providing connectivity to meet the international requirements of their largest customers. Few have been aggressive enough to go after organizations headquartered outside of their home territories. CenturyLink is positioning itself to join the latter group, and with cash to spend, the service provider can afford to make some sizeable investments. Continue reading “CenturyLink Implements Ambitious Strategy to Compete with the World’s Largest Carriers”→
Artificial intelligence has the potential to profoundly impact the way companies conduct business, and telecom service providers are no exception.
Fifty-five percent (55%) of telecom service providers have already prioritized chatbots, machine learning, and deep learning; over the next two years, this number is expected to grow to 75%.
Few telcos are saying much about their artificial intelligence strategies, but enterprise customers have much to gain from working with a provider that incorporates the technology into its processes and solutions. Artificial intelligence has the potential to profoundly impact the way companies conduct business, particularly telecom service providers. From an internal perspective, it can be used to improve network management, operations, security, and customer support. Operators can use AI to add new features to existing products, or to bring entirely new solutions to market. All of this is good for customers, but the benefits don’t stop there. Service providers are well positioned to use their lessons learned with AI to help customers make the most of the new capabilities. Continue reading “Service Provider Adoption of AI Poised to Pick Up Momentum”→
During its AI developer conference, Baidu made several announcements that demonstrate how it is moving the Chinese AI market forward, but the release of its Kunlun chip stands out as a key move that repositions it in the not only the Chinese market, but also globally
With Kunlun, Baidu joins the ranks of a select few companies that not only offer an AI platform that helps enterprises deploy AI-infused solutions, but that have also developed their own hardware to maximize AI processing.
Baidu is hot on the heels of the likes of Microsoft and Google. Although already known as an ambitious player in the AI realm, primarily in China, the search engine provider hasn’t managed to establish itself as a major force in the space, until now. Earlier this month, Baidu announced that it is bringing to market an AI-optimized chip, called Kunlun. With the move, Baidu joins the ranks of a select few companies that not only offer an AI platform that helps enterprises deploy AI-infused solutions, but have also developed their own hardware to maximize AI processing. Continue reading “Release of AI-optimized Kunlun Chip a Game Changer for Baidu”→
Successful AI projects take a village; project teams that include members from groups across the company are more likely to uncover the ‘what-if’ and ‘then what’ questions that are best addressed early.
GlobalData’s 2018 survey found that close to 40% of businesses include all affected parties in decisions related to big data and analytics solutions.
We’ve all heard that not only are machine learning (ML) algorithms time-consuming to develop and train, but that they also need access to vast data lakes and specialized data scientists. With these requirements, it’s no wonder that businesses tend to focus on identifying the skilled IT-centric resources required for undertaking an AI deployment. But AI isn’t just the playground of data specialists, successful outcomes take a village. Project teams that include members from different organizations across the company are more likely to uncover the ‘what-if’ and ‘then what’ questions that are best addressed early on. HR, legal, finance, customer service, operations, and other business units have much to contribute to a successful AI deployment. Continue reading “With AI Decisions, It Takes a Village”→
• Huawei showcased its Video Cloud Platform at its recent analyst event, touting its application for public safety.
• The company pointed to widespread adoption and success in China, but can it find a market for its solution overseas?
During Huawei’s Analyst Summit in Shenzhen, China, executive keynotes emphasized the role of artificial intelligence (AI) in the company’s vision to create a more connected, more intelligent world. The company’s vision is to use AI to improve people’s daily lives and to benefit society as a whole. Unlike some competitors, who often showcase the application of AI to improve the customer experience, or point to use cases that incorporate natural language processing or natural language generation, Huawei was keen to highlight its video strategy. The company has roughly 5,450 members of its staff involved in developing video solutions and eight research and development centers that focus on video technology (three in China, as well as sites in the US, France, Ireland, Russia, and Japan). Huawei envisions several use cases for the application of AI and video, including identification of abandoned objects, intrusion detection, crowd density monitoring, facial control/admission processing, and vehicle, facial, and physical attribute identification. Continue reading “Is Public Safety China’s New Export?”→