Work-Bench calculated the percentage using its database of female-founded companies and information from financial data company PitchBook Data Inc., which shows a total of approximately 18,500 venture capital-backed business-to-business software startups in the U.S. Women have been historically underrepresented in the technology side of the software industry. U.S. Department of Labor data from 2019 shows that 18.1% of all software developers in the U.S. are women, and those women on average earn 88.7% of what their male counterparts earn. Things aren't easier for women who branch off to start their own enterprise software businesses, experts say. A combination of implicit biases, discrepancies in networking connections and a cycle that leaves women largely outside the venture-capital sphere makes it harder for female-led companies to get off the ground--perpetuating a stubborn gender gap in one of the country's most male-dominated industries. "Of course it's hurt me," Idit Levine, the founder and chief executive of Solo.io, said about being a woman in the enterprise software space.

You want to find network errors fast and need a reliable tool. You are not alone, try Fiddler Everywhere free for 30-days and let this all in one web debugging solution deliver the successful outcomes you expect. My name is Roland Meertens, editor for AI and machine learning at InfoQ and product manager at Annotell. Today I will host the podcast and I will be talking with Joe, Sebastian, and Florian about the Indy Autonomous Challenge and how they managed to win it. Could you maybe introduce yourself to the listeners and tell them about what the Indy Autonomous Challenge is? Joe Speed: Sure, happy to. I'm a technical advisor for the Indy Autonomous Challenge, which is an amazing university challenge for autonomous racing. I was part of the TUM Autonomous Motorsport team. We managed to win the challenge in the end, and my main responsibilities were the mapping and localization part. And my main responsibility in our team was the perception, mainly the object detection. Roland Meertens: All right, maybe we can get started with you Joe. Maybe you can say that about what this Indy Autonomous Challenge is. Joe Speed: It's an amazing program. So, a lot of this is anecdotal. So Sebastian Thrun, who is very much like the godfather of modern autonomous driving, he had won the DARPA Grand Challenge. He was out at Indy and had commented something like, "Some of the things happening autonomy are not that exciting to me anymore, but if this, if the Indy 500 was autonomous, that would be interesting.

This article appears in the November/December 2021 issue of The American Prospect magazine. The term "artificial intelligence" is widely recognized by researchers as less a technically precise descriptor than an aspirational project that comprises a growing collection of data-centric technologies. The recent AI trend kicked off around 2010, when a combination of increased computing power and massive troves of web data reanimated interest in decades-old techniques. It wasn't the algorithms that were new as much as the concentrated resources and the surveillance business models capable of collecting, storing, and processing previously unfathomable amounts of data. In other words, so-called "advances" in AI celebrated over the last decade are primarily the product of significantly concentrated data and computing resources that reside in the hands of a few large tech corporations like Amazon, Facebook, and Google.

The best virtual agents can avoid the need for some tickets to be submitted to help desk by offering up information that a user can use to self-service an issue or by resolving the issue directly by triggering an automated workflow such as a password reset. When a ticket does need to be submitted a virtual agent can ensure that tickets are fully-formed and “actionable”. Virtual agents can also relieve analysts from chasing down users for more information and handling repeatable mundane requests. It shouldn’t come as a surprise, therefore, that many of the most forward-looking IT organizations are already leveraging virtual agents to transform their service desks. Who Is Using Them? What is interesting, perhaps, is that these organizations are not limited to any one industry or type of business. Here are a few examples: City government—wanted to accelerate issue resolution and improve IT costs with a conversational approach to issue determination and resolution; deployed a virtual agent to drive self-service uptake and improve automation; and expect a 30% improvement in costs, along with enhancements to user satisfaction and service desk productivity. Global software company—hoped to streamline user interactions by completing and triaging tickets (or deflecting them altogether), and surveying users once issues have been resolved; installed a virtual agent to optimize the number of requests directed to its service desk catalog and automate as many workflows as possible; and forecast a 35% improvement in overall support costs. Managed service provider—decided to offer a key customer a solution which improved user satisfaction by reducing telephone support wait times; implemented a virtual agent in front of the customer’s interactive voice response system to divert users’ inquiries to a self-service knowledge base whenever possible; predict a 30% reduction in call volumes and a similar improvement in customer wait times. Multinational electronics manufacturer—resolved to increase the productivity of employees by enabling them to report issues on mobile devices removing the need for them to leave the manufacturing floor to access a computer terminal to do so; deploy a virtual agent as a first point of contact, enabling simple requests to be diverted to a knowledge database and issues resolved intuitively; anticipate at least a 30% improvement in support and service costs. State government—elected to improve the adoption of self-service resolution of issues by providing a more intuitive way for users to obtain assistance; installed a virtual agent as a conversational interface with simple issues routed to relevant sections of a help desk knowledge base for self-service resolution; expecting a 3x increase in the amount of issues resolved without analyst involvement. The ability of the best virtual agents to have an impact in such a wide variety of businesses and governments is, in part, due to them being agnostic to the ITSM environments into which they are deployed. They can, consequently, be deployed anywhere. Insight and Learnings Luma, the virtual agent that we’ve developed here at Serviceaide, and purpose-built for IT service management, already integrates seamlessly with leading ITSM solutions from  CA Technologies, Cherwell, Freshservice and ServiceNow, and we will be are adding other leading ITSM platforms. And, of course, Luma also connects to our own Intelligent Service Management solution. Organizations, across a variety of industry sectors, have deployed Luma, or are in the process of doing so. I’m excited about these successes and look forward to sharing more details about them with you in future blog articles – I’m especially eager to describe the interesting things we’ve learned during the development and onboarding process in each instance, as I’m sure that this will be very insightful to others about to embark on a virtual agent deployment. Thanks for reading. We hope that our blog articles can inform and start conversations. If this article piques your interest, but leaves you wanting more, let me know.

China had its sputnik moment in March 2016. That month an artificial intelligence programme, AlphaGo, beat a South Korean grandmaster at Go, an extremely complex and demanding Chinese board game. The five game series was watched by an audience of more than 280 million viewers across China. In May 2017 AlphaGo defeated China's 19-year-old prodigy Ke Jie; two months later the Chinese government issued an AI strategy which projected that the country would become the global centre of AI innovation by 2030. By year's end, China accounted for nearly half of all AI venture funding globally.

Cognitive Space announced the highlights of a very successful year in its mission to dramatically improve the way we monitor the Earth for economic, environmental, and national security understanding. The company helps organizations fly their satellites with new tools for New Space – providing satellite operators and space infrastructure companies with sophisticated SaaS services for optimizing revenue and performance yield, forecasting future capacity, and orchestrating collection management as satellite constellations grow and scale. "The New Space economy is attracting massive investment and is growing exponentially. Space will be filled with thousands of new commercial satellites," said Scott Herman, CEO of Cognitive Space. "But building out the required ground architecture is a major hurdle for New Space companies and usually represents a significant monetary investment, a multi-year time commitment, and major execution risk as they build their business. Cognitive Space provides a blueprint and an operational capability that de-risks and accelerates their buildout schedule, controls costs, and then optimizes their ongoing operations to power their business vision."

As one of the world's busiest airports, (ranked No. 3 in 2018 according to Airports Council International's world traffic report), Dubai International Airport is also a leader in using artificial intelligence (AI). In fact, the United Arab Emirates (UAE) leads the Arab world with its adoption of artificial intelligence in other sectors and areas of life and has a government that prioritizes artificial intelligence including an AI strategy and Ministry of Artificial Intelligence with a mandate to invest in technologies and AI tools. The Emirates Ministry of the Interior said that by 2020, immigration officers would no longer be needed in the UAE. They will be replaced by artificial intelligence. The plan is to have people just walk through an AI-powered security system to be scanned without taking off shoes or belts or emptying pockets.

The Veterans Affairs Department plans to contract app developer JumpStart to build a platform that uses artificial intelligence and the user's own body to improve the physical therapy process. The app, called the AI Based Physical Therapy App, or AIPTA, will be designed to predict and mitigate repetitive stress-related injuries, according to a request for information posted to SAM.gov. The app will use an adaptive user interface to receive input from wearable devices that monitor various health diagnostics. The VA expressed enthusiasm with a particular vendor, JumpStart, and noted that it "was rated to have the highest AI-based physical therapy biofeedback and analytical capabilities as related to physical therapy and rehabilitation," during a tech sprint held by the agency's National Artificial Intelligence Institute from December to June. "VA has already vetted several other AI health applications but have not found any vendors with similar capabilities," the notice read.

Often described as austere and even robotic, Social Democrat Olaf Scholz nonetheless managed to inspire German voters in this year's election with a campaign that played on his reputation as a safe pair of hands. Scholz, 63, will now take office as Germany's ninth post-war chancellor, replacing Angela Merkel who is leaving the political stage after 16 years. The Social Democrats (SPD) had begun the election campaign at rock bottom in the polls, with many completely writing off Scholz's chances of heading the next government -- so much so that he didn't even have an official biography until this week. But Scholz managed to stage a stunning upset, beating Merkel's conservatives by positioning himself as the best candidate to continue her legacy, even adopting her famous "rhombus" hand gesture on a magazine cover. Unlike his rivals, he also managed not to make embarrassing mistakes during a campaign that drew on his reputation as a quiet workhorse, using the slogan "Scholz will sort it".

This works considers challenges of building and usage a formal knowledge base (model), which unites the ATT&CK, CAPEC, CWE, CVE security enumerations. The proposed model can be used to learn relations between attack techniques, attack pattern, weaknesses, and vulnerabilities in order to build various threat landscapes, in particular, for threat modeling. The model is created as an ontology with freely available datasets in the OWL and RDF formats. The use of ontologies is an alternative of structural and graph based approaches to integrate the security enumerations. In this work we consider an approach of threat modeling with the data components of ATT&CK based on the knowledge base and an ontology driven threat modeling framework. Also, some evaluations are made, how it can be possible to use the ontological approach of threat modeling and which challenges this can be faced.