BMC sponsored this article for The New Stack. When we think about tech's ultimate disruptors, Apple leads the pack. Apple was a PC vendor competing with the likes of Commodore in the early 1980s before co-founder Steve Jobs seeded the idea of a portable music player -- and anticipated the explosive demand for the iPhone. The company's leadership envisioned what the end user would want years in advance, as well as how to pre-empt problems by solving ahead of time those that would likely occur along the way. Most technology- and data-driven companies realize that just focusing on meeting today's user demands is not a sustainable business model.

The current interest rate decision is casting its shadow ahead, and the horrendously rising inflation rates are unsettling market participants. In the fight against inflation, the US Federal Reserve will likely shrink its balance sheet further and herald more aggressive interest rate steps. However, there is then a risk of significantly weakening the economy. That would seriously worsen the macroeconomic picture and significantly increase the risk of the US sliding into recession. The biggest losers from a major interest rate hike will likely remain interest rate sensitive growth stocks. However, such a scenario is already priced in for many stocks.

In 2020 the GPT-3 model of A.I. was released which utilizes 175 billion machine learning parameters. It's a sophisticated A.I. that can truly understand your commands and provide content based off of them. The GPT-3 A.I.'s API is being used by tons of different tools in a variety of innovative ways. We're going to look at how we can utilize this amazing new technology to make $1000 a month using A.I. generated content. Content is the lifeblood of any business, but creating content is time-consuming, expensive, and often requires a human touch. To tackle this problem, you can use artificial intelligence (AI) to create content for you.

A deepfake website that generates "nude" images of women using artificial intelligence is spreading its murky tentacles across the web--spawning look-alike services through partner agreements and recruiting new users through a referral system. The expansion efforts have allowed the service to proliferate despite bans placed on its payment infrastructure. The website, which WIRED is not naming to limit its amplification, has existed since last year. It digitally "removes" clothing from non-nude photos to create nonconsensual pornographic deepfakes. Researchers say its output is "hyper-realistic," and unlike similar abusive platforms, it can generate pornographic images even when the person in the original photo is fully clothed.

BOSTON--(BUSINESS WIRE)--Today, vision AI software company Neurala announced the launch of its Neurala VIA Authorized Partner program, to help manufacturers leverage the power of vision AI to improve quality inspection and adapt to fluctuating consumer demand. Neurala VIA Authorized Partners are a global network of integrators and distributors with expertise in helping manufacturers adopt automation and implement Industry 4.0 initiatives. Neurala's channel program brings broader adoption and accessibility to Neurala VIA software, an integrated solution to help manufacturers improve quality inspection on the production line while scaling to meet product demands. In a time when flexibility and scalability are more important than ever before, Neurala's partner program will ensure that distributors and systems integrators play a central role in enabling manufacturers to implement vision AI – and to do so quickly – in order to adapt. In cases where deep learning has previously been too costly or time-intensive to implement, this represents a significant paradigm shift and offers strong return on investment.

ThetaRay, a provider of Big Data and artificial intelligence (AI)-enhanced analytics tools, has joined Microsoft's (NASDAQ:MSFT) partner program, One Commercial Partner, which provides various cloud-powered solutions. ThetaRay's anti-money laundering (AML) solution for correspondent banking can be accessed through Microsoft's Azure Marketplace. A large US bank has reportedly signed an agreement to use the solution. "We are proud to join the One Commercial Partner program and offer Microsoft Azure customers access to our industry-leading AML for Correspondent Banking solution." "Global banks are increasingly de-risking or abandoning their correspondent banking relationships due to a lack of transparency and fears of money laundering and regulatory fines. Our solution provides banks with the … ability to reverse the trend and grow their business by allowing full visibility into all links of the cross-border payment chain, from originator to beneficiary."

But you may be asking, what is the AI Inner Circle Partner Program? "The AI Inner Circle Partner program is designed for partners who provide custom services or enhanced AI product solutions utilizing Microsoft AI technologies. This program recognizes a partner's unique expertise in specific industries and their ability to drive business transformation using the power of AI and data. AI Inner Circle partners champion Microsoft AI technologies and deliver cutting edge AI solutions for customers." What does this mean for you, our clients? We now have the opportunity to enhance our relationships with you through Microsoft technologies, invitation-only events and early technology previews.

On October 22, 2019, Medium unveiled a new model for calculating writer's earnings. According to this new model, earnings will be calculated based on the reading time of Medium members. You may find out more about the new model from this article: Improving how we calculate writer earnings. The new model took effect as of October 28, 2019. In a previous article (Medium Partner Program's New Model for Calculating Writer's Earnings -- Linear Regression Analysis), I had written about a model for writer earnings under the new Partner Program model.

As a Stanford alum, I am excited to announce that IBM Research is the first founding corporate partner of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Building on decades of research collaboration across computer and materials science, IBM is committed to joining HAI to advance AI research, education, policy and practice that improve how we live, work, play and learn. In this new role, IBM will work closely with fellow AI thought leaders, researchers and innovators at Stanford and through participation on the HAI Corporate Advisory Committee. IBM researchers will also work alongside Stanford researchers as part of the Visiting Scholars program. Across departments and with other academic, industry and government leaders, IBM will work with HAI to collaborate to advance the state of the art in AI research and to understand the multi-dimensional impact of AI as it transforms economies, business, legal and political norms, societies and cultures.

Hewlett Packard Enterprise (HPE) announced new edge solutions, research labs and programs to simplify and accelerate Intelligent Edge adoption, enabling customers to create unique digital experiences and leverage analytics and machine learning to adapt to changes in real-time. These offerings and programs include enhancements to Aruba Central, its cloud-based platform that unifies network management, AI-powered analytics, user-centric service assurance and security for wired, wireless and WAN at the edge. Integrations and new turnkey edge-to-cloud solutions, delivered with ABB, Microsoft and PTC, enabling real-time intelligence and control in industrial environments, and Intelligent Edge and IoT Center of Excellence (CoE) and Labs, part of Hewlett Packard Labs, to develop and commercialize new capabilities and technologies that accelerate customers' and partners' Intelligent Edge journey. Research suggests that over the next decade, the Internet of Things (IoT) and related data growth has an economic potential of up to $11 trillion per year. To capture this potential, organizations need to implement an Intelligent Edge, an architecture that is fully connected, secured, distributed and autonomous.