Wining and dining, wooing clients with creative offers, and cashing big bonuses provide the glamor to sales work. Drafting answers to hundreds of dull questions posed by a prospective customer's request for proposals? Mercifully for workers, after months of speculation about ChatGPT-style AI taking over white-collar work, the corporate chore of responding to RFPs is one of the first that generative AI is disrupting. In April, communications software maker Twilio introduced RFP Genie, a generative AI tool that digests an RFP, scours thousands of internal files for relevant information, and uses OpenAI's GPT-4 to generate a suitable response. The company's sales staff simply copy and paste the text over into a formal document and make a few adjustments.

Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles, by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, "It's clever, but is it Art?" Pollock's piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art. Similarly, there is no broadly accepted objective definition for the quality of a piece of art, with the closest definition being from Orson Welles, "I don't know anything about art but I know what I like." Similarly, people recognize unfair bias when they see it, but it is quite difficult to create a single objective definition.

GNW In addition, aligning models with business demands and regulatory standards is simpler. MLOps is gradually becoming a stand-alone method for managing the ML lifecycle. It covers every lifecycle stage, including data collection, model building (using the software development lifecycle and continuous integration/delivery), deployment, orchestration, health, governance, diagnostics, and business metrics. Machine learning technology solutions are being aggressively adopted by businesses to improve the customer experience and support maximizing profit. Market participants are implementing advanced data processing and integration strategies to gather insights and get a competitive edge over rivals.

Weatherford International signed a multiyear agreement with artificial-intelligence (AI) company DataRobot to deliver advanced AI in its digital platforms, including the ForeSite production optimization and Centro well construction platforms. By forging this new relationship with DataRobot, Weatherford plans to accelerate the development of machine learning (ML) and AI-enabled offerings within its digital solutions portfolio to deliver innovative technologies to the market. Providing an integrated solution combining physics-based and AI models at scale enables understanding and leveraging large quantities of data from every corner of an asset to improve operations performance. "We began our Industry 4.0 journey in 2017 by introducing our first AI/ML-based modules in our software platforms," said Matt Foder, Weatherford's senior vice president of innovation and new energy. "This agreement with DataRobot adds a solid foundation to operationalize and scale these modules and those of our customers, providing incremental value across the energy industry space. This collaborative innovation is aligned with our promise of delivering open and flexible digital platforms to our users."

A decade of big data investments, combined with cloud scalability, the rise of more cost effective processing and the introduction of advanced tooling, has catapulted machine intelligence to the forefront of technology investments. No matter what job you have, your operation will be AI powered within five years and machines may be doing your job in the future. Artificial intelligence is being infused into applications, infrastructure, equipment and virtually every aspect of our lives. AI is proving to be extremely helpful at controlling vehicles, speeding medical diagnoses, processing language, advancing science and generally raising the stakes on what it means to apply technology for business advantage. But business value realization has been a challenge for most organizations because of a lack of skills, complexity of programming models, immature technology integration, sizable up front investments, ethical concerns and lack of business alignment. Mastering AI technology and a focus on features will not be a requirement for success in our view. Rather, figuring out how and where to apply AI to your business will be the crucial gate.

NEW YORK, NY, Nov. 17, 2022 (GLOBE NEWSWIRE) -- Dataiku, the platform for Everyday AI, today announced Ben Taylor's appointment as its first Chief AI Strategist. Taylor, a visionary in the advancements of AI, machine learning, and data science, joins the company to help accelerate momentum as it continues to experience soaring demand amongst enterprise organizations and business users. "A simple truth we face is that AI will be part of every business, whether you like it or not. The only question is whether you want to be a leader or a laggard," said Taylor. "However, the technology itself is nothing without people asking the right questions and bringing what makes us intrinsically human to AI. "This is what makes Dataiku truly special - the company is not just about the technical aspects of its solid AI platform but is centered around collaboration and the people who create the types of jaw-dropping projects I hope to be a part of.

Amid soaring demand for tools to enable the data-driven organisation, a partnership between data specialists Knowledge Integration Dynamics (KID) and global AI cloud leader DataRobot is automating and democratising artificial intelligence (AI) and machine learning (ML), putting it into the hands of more South African businesses. Markus Top, who is heading up the partnership at KID, says it is a logical next step for KID, which has supported South African enterprises through their data journey for over 20 years. "Every business today wants to be data driven and embed AI at scale. However, until fairly recently achieving this has been a costly and time-consuming task," Top says. "With DataRobot, the manual, time-consuming processes within AI and ML projects are largely automated, allowing businesses to transform and innovate faster."

Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles, by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, "It's clever, but is it Art?" Pollock's piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art. Similarly, there is no broadly accepted objective definition for the quality of a piece of art, with the closest definition being from Orson Welles, "I don't know anything about art but I know what I like." Similarly, people recognize unfair bias when they see it, but it is quite difficult to create a single objective definition.

AI has the potential to deliver enormous business value for organizations, and its adoption has been sped up by the data-related challenges of the pandemic. Forrester estimates that almost 100% of organizations will be using AI by 2025, and the artificial intelligence software market will reach $37 billion by the same year. But there is growing concern around AI bias -- situations where AI makes decisions that are systematically unfair to particular groups of people. Researchers have found that AI bias has the potential to cause real harm. I recently had the chance to speak with Ted Kwartler, VP of Trusted AI at DataRobot, to get his thoughts on how AI bias occurs and what companies can do to make sure their models are fair.

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we're thrilled about is that DataRobot is one of McLaren's newest partners. As part of this relationship, DataRobot will be integrated into the McLaren Racing infrastructure, delivering AI-powered predictions and insights to maximize performance and optimize simulations. DataRobot is collaborating with team members across departments of McLaren and showing off co-marketing activities, including logos on the McLaren's MCL36 race cars and on the race suits of McLaren F1 drivers, Lando Norris and Daniel Ricciardo.