Generative AI has picked up incredible momentum in the last few months. Hype is now becoming reality, with companies of all sizes, in all industries, embracing GPT and other large language models (LLMs) to enhance business operations and customer offerings. We are seeing first-hand how this technology can truly transform organisations, and the relationship between human and machine. At the same time, we are in the defining'decade of data' – a period marked by the fundamental shifts in power created by the intersection of technology and data and the impact this has in every facet of our lives. In today's landscape, a company's data can be two or three times more valuable than the company itself.

Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey... Pre-processing and exploring data, building and deploying models and turning those scoring values into an actionable insight can be overwhelming. A recent survey shows that for data scientists, the many tasks they spend their time working on are very different from the tasks they actually want to prioritize. This disparity can feel wide, especially when coworkers or internal clients think you can do it all. The expectations for those who work with data and analytics can be as large as the potential impact that can be made in organizations.

If your work involves analyzing and reporting on data, then it's understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future. Will ChatGPT Put Data Analysts Out of Work? Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand.

Industry 4.0, also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies, including the Internet of Things (IoT), artificial intelligence, and cloud computing. This trend is expected to lead to a more integrated and flexible manufacturing process, as well as increased efficiency and productivity. In terms of maintenance strategy, Industry 4.0 is likely to lead to a shift towards predictive maintenance, in which maintenance is performed based on data and analytics rather than on a fixed schedule. This can involve the use of sensors and IoT devices to monitor the condition of equipment in real-time, and the use of data analysis and machine learning algorithms to predict when maintenance will be needed. Predictive maintenance can help to reduce downtime and improve equipment reliability, as well as potentially reducing maintenance costs.

BearingPoint surveyed technology consultants for the second year to see which technology areas would get the most attention in 2023. According to over 1,200 participants, AI is still the top trend, only with a different focus. Metaverse is a new entry this year and is seen playing an important role in making businesses more sustainable. Embedded data and analytics held the number 4 position for a second-straight year. Stefan Pechardscheck, Global Leader Technology at BearingPoint: "Our new technology trends have answers to the most pressing challenges companies face. Our top 5 technology trends for 2023 are once again game-changers and can be the basis of new business models. New trends like the metaverse, which merges digital and reality, will also play a big role in society, like sustainability through substitution or optimization. Our clients can benefit from all of these technologies. The tools are improving, and the possibilities are increasing, offering companies more potential to harvest values."

HawkEye 360 Inc., a leading commercial provider of space-based radio frequency (RF) data and analytics, announced the transition from Amazon Web Services (AWS) commercial services to AWS GovCloud (US) as a foundational element of their overall approach to protecting sensitive and controlled data. AWS GovCloud (US) is designed to host sensitive data, regulate workloads, and address stringent U.S. government security and compliance requirements. "Our AWS GovCloud (US) migration is a significant milestone for HawkEye 360. The move to AWS GovCloud (US) facilitates the development and delivery of export-controlled products and services and demonstrates to our customers the security and integrity of our data and analytics," said HawkEye 360 Vice President of Engineering, Chris Gregory. AWS GovCloud (US) is FedRAMP compliant and provides a robust platform for HawkEye 360 to develop and deliver products as well as streamlines the assessment process that demonstrates to the US government that HawkEye 360 is meeting the applicable requirements of the Defense Federal Acquisition Regulation Supplement (DFARS), as well as the Cybersecurity Maturity Model Certification (CMMC) Level 2 and NIST-800-171.

Until recently, disruption in IT meant something very different than sending everybody home to work for a year. But the COVID-19 pandemic has shaken up the technology landscape, stalling some approaches and systems, while speeding the adoption of others. In our recent State of the CIO survey, tech leaders placed AI and machine learning at the top of their list of technologies most likely to significantly impact how businesses operate in 2021. IT leaders also see big data and analytics having a distinct impact, along with less widely adopted technologies such as blockchain. We reached out to IT leaders and industry analysts to get their take on which technologies pose the most disruptive potential in 2021, with some offering perspective on which technologies might be in favor as the pandemic subsides.

Alexander Hagerup, Co-Founder and CEO of Vic.ai, is a serial tech entrepreneur with a strong passion for artificial intelligence. As experts continue to debate whether a true recession is on its way, two things are certain: The economy is contracting, and borrowing is more expensive than it has been in over a decade. As a result, many businesses are becoming more cash-conservative, slowing their growth plans and battening down the hatches for what might be a challenging handful of years. But as belts are tightening, business leaders still need to consider continued investment in areas that can improve business operations. As they evaluate how to optimize under financial pressure, businesses must weigh where their investment dollars will give them the best and quickest ROI.

We're Cruise, a self-driving service designed for the cities we love. We're building the world's most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many. Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines.

Digital transformation has become a business imperative in the wake of the pandemic. Companies that have not modernized their processes and integrated cloud and analytics capabilities are severely disadvantaged. Genpact's latest study, "Data-Driven Business Transformation," reveals that only 8% of enterprises have fully modernized. This digital divide will result in those companies who can move quickly and take advantage of new opportunities, leaving behind those who are not. In addition to Genpact, Peak's latest report, "State of AI 2022," revealed that 55% of enterprises will be AI-First by 2025.