Making predictions about enterprise technology is more challenging if you strive to lay down forecasts that are measurable. In other words, if you make a prediction, you should be able to look back a year later and say with some degree of certainty whether the prediction came true or not -- with evidence to back that up. In this Breaking Analysis, we aim to do just that with predictions about the macro information technology spending environment, cost optimization, security – lots to talk about there – generative AI, cloud and supercloud, blockchain adoption, data platforms (including commentary on Databricks Inc., Snowflake Inc. and other key players), automation and events, and we even have some bonus predictions. To make all this happen, we welcome back for the third year in a row, Erik Bradley, our colleague from Enterprise Technology Research. As well, you can check out how we did with our 2022 predictions. Each year, tech vendor PR pros reach out to us to help influence our predictions. It starts as early as October.
AI is a really fascinating tool if used correctly it can be beneficial especially for making money and doing work faster and easier. I hope that you all are familiar with ChatGPT and how people are using it every day in their daily tasks to ease the work. Now with the help of an AI, you can complete the job much faster which allows you more time and with this more time you can do many other things with it. One of the major fields is SaaS or Web Development now days we are seeing a lot of tools which are coving some kind of AI module in them, as said AI can be the next big thing and tests don't think of this as bitcoin or cryptocurrency which took place last year in 2022 and a lot of people lost their investment in it. Companies like Microsoft and Google are investing Billions of dollars in AI-related tools and now also a lot of other companies like Adobe are trying to include AI in their software.
On August 20, 2011, Marc Andreessen published a pivotal story on'Why Software is Eating the World' in the Wall Street Journal. He says that more than 10 years since the peak of the '1990s dot-com bubble', a dozen new internet companies like Facebook and Twitter sparked controversy due to their growing private market valuations and occasionally successful IPOs. He writes, "My theory is we are in the middle of a dramatic and broad technological and economic shift in which software companies are poised to take over large swathes of the economy." This was a decade ago, but still stands true. The only difference is that the technology today has advanced to Web3 – a new iteration of the world wide web – which incorporates concepts such as decentralization, blockchain technologies, and token-based systems.
Investors and analysts are starting to push beyond the hype about artificial intelligence and ask more questions about AI software companies' near-term growth prospects. Professional service and software providers including Palantir Technologies Inc., C3.ai Inc. and Veritone Inc. market themselves as AI companies with high growth potential, offering services to enhance enterprise analytical capabilities in sectors like cybersecurity and telecommunications. But amid a tech market downturn, these companies are struggling to convince Wall Street they can withstand the pressures of a weakened macroeconomic environment. "We believe chunky data analytics projects are more likely to be put on hold in a weaker growth environment," Goldman Sachs analysts said in a Nov. 8 note following Palantir's third-quarter 2022 earnings call. All three stocks have been hard-hit amid the broader sell-off in tech stocks in 2022, with Palantir and C3.ai both down about 59% year-to-date as of Nov. 23.
Perfect Corp. ("Perfect"), a global leader in providing augmented reality ("AR") and artificial intelligence ("AI") Software-as-a-Service ("SaaS") solutions to beauty and fashion industries, and Provident Acquisition Corp, a special purpose acquisition company, announced the completion of their previously announced business combination (the "Business Combination"). The listed company resulting from the Business Combination will be called Perfect Corp., and its shares and warrants will commence trading on the New York Stock Exchange under the ticker symbols "PERF" and "PERF WS," respectively, on October 31, 2022. Alice Chang, Founder and Chief Executive Officer of Perfect, commented, "We are thrilled to continue Perfect's evolution, now as a public company, by reaching this significant milestone. Leveraging our access to the global capital market, we plan to extend our industry coverage from beauty and fashion to tangential sectors, augment our innovative AR and AI SaaS solutions, and empower more enterprises around the world to deliver transformative virtual product try-on experiences to consumers." Passwords and People are the Biggest Risks to Businesses' Cyber Security, says Consolidated Communications' Head of Network Security Marco's Pizza Selects Medallia to Boost its Market Intelligence Michael Aw, Chief Executive Officer of Provident, commented, "Provident is proud to partner with a company whose unparalleled leadership and vision have driven it to the forefront of today's beauty and fashion industries. With its innovative AI and AR solutions and strong partnerships with the world's leading beauty groups, we believe that Perfect is well positioned to continue growing its business and deliver sustainable shareholder returns. We are excited for the opportunities that lie ahead, and we look forward to working with Perfect in the future as a newly-public company."
The wide scale adoption of Artificial Intelligence (AI) software is one of the great transformational technologies of the 21st Century. It is also big business. The global market for AI was estimated at $387.45 billion in 2022 and is expected to reach $1.394 trillion by 2029, according to Fortune Business Insight. One company that is helping to accelerate that transformation, is AI pioneer C3 AI (NYSE: AI). Founded in 2009 long before the wide adoption of either the Cloud or AI by legendary Silicon Valley entrepreneur and billionaire Tom Siebel, C3 provides an open model-AI architecture that simplifies data science and application development to offer an end-to-end platform for developing, deploying, and operating large-scale AI applications; a portfolio of industry-specific SaaS AI applications; a suite of industry-specific CRM applications; and a no-code AI solution to apply data science to everyday business problems.
It is a comprehensive course that shows how you can build a stylish web app with machine learning at the backend to predict the future price of any cryptocurrency. The main course has a mini crash course on Python for newbies and culminates into the theory and practice of Machine Learning and its predictive modeling application on cryptocurrencies. At the end of this course, you will be able to develop a full-fledged web app that will take in data (available for free on the Internet). As you will provide the data to the web app, the web app having its predictive machine learning model at the backend will spit out the future prices of a cryptocurrency. The course includes all the code for the web app, and with a tiny tuning in the code, you can adjust the web app to predict the prices of any cryptocurrency.
Qu&Co and Pasqal are merging their businesses, combining Qu&Co's robust portfolio of algorithms with Pasqal's full-stack neutral-atom system to accelerate the quantum path to commercial applications. The united business, known as Pasqal and located in Paris, will offer a 1,000-qubit quantum solution in 2023, according to the disclosed roadmaps of the most sophisticated quantum platforms. Qu&Co's portfolio of quantum algorithms will be tightly integrated with Pasqal's advanced quantum hardware, providing added value to customers such as Johnson & Johnson, LG, Airbus, and BMW Group. The combined company will offer a wide range of quantum solutions in chemistry, life sciences, automotive, electronics, utilities, aerospace, defense, finance, and other sectors. In an interview with EE Times Europe, Georges-Olivier Reymond, CEO of Pasqal, said the merger enables the combined company to fast-track the implementation of its R&D roadmap, recruit top talent, achieve an industry-relevant quantum advantage much sooner, and serve more clients with new, unique, and proprietary quantum solutions.
In its early days, robotic process automation emerged from rudimentary screen scraping, macros and workflow automation software. Once a script-heavy and limited tool that was almost exclusively used to perform mundane tasks for individual users, RPA has evolved into an enterprisewide megatrend that puts automation at the center of digital business initiatives. In this Breaking Analysis, we present our quarterly update of the trends in RPA and share the latest survey data from Enterprise Technology Research. The new momentum in RPA is around enterprisewide automation initiatives. Once exclusively focused on back office automation in areas such as finance, RPA has now become an enterprise transformation catalyst for many larger organizations. Initially focused on cost savings in the finance department and other back-office functions, RPA has moved beyond the purview of the chief financial officer.
This report from the Montreal AI Ethics Institute (MAIEI) covers the most salient progress in research and reporting over the second half of 2021 in the field of AI ethics. Particular emphasis is placed on an "Analysis of the AI Ecosystem", "Privacy", "Bias", "Social Media and Problematic Information", "AI Design and Governance", "Laws and Regulations", "Trends", and other areas covered in the "Outside the Boxes" section. The two AI spotlights feature application pieces on "Constructing and Deconstructing Gender with AI-Generated Art" as well as "Will an Artificial Intellichef be Cooking Your Next Meal at a Michelin Star Restaurant?". Given MAIEI's mission to democratize AI, submissions from external collaborators have featured, such as pieces on the "Challenges of AI Development in Vietnam: Funding, Talent and Ethics" and using "Representation and Imagination for Preventing AI Harms". The report is a comprehensive overview of what the key issues in the field of AI ethics were in 2021, what trends are emergent, what gaps exist, and a peek into what to expect from the field of AI ethics in 2022. It is a resource for researchers and practitioners alike in the field to set their research and development agendas to make contributions to the field of AI ethics.