Since the spring of 2020, the COVID-19 pandemic has upended the traditional workplace, affecting nearly every industry. The tech sector, which has been ahead of the curve in terms of flexible work policy, has been on the roller coaster as well but has remained remarkably resilient. Deloitte's 14th annual Tech Trends report, released on Wednesday, takes a look at the current state of enterprises when it comes to IT. The Deloitte report focuses on the experience of global organizations, across industries, in order to ascertain what tech trends are on the horizon. Deloitte employs a "wide-angle lens" to predict what's happening, according to Mike Bechtel, chief futurist and managing director at Deloitte.

Data labeling: One way to make money with AI is by working as a data labeler. This involves preparing data sets that are used to train machine learning models. Data labelers are responsible for reviewing data and assigning labels to it so that the model can learn to recognize patterns and make predictions. AI consulting: Another way to make money with AI is by offering consulting services to businesses that are looking to implement AI solutions. This could involve helping businesses identify the best AI tools and techniques to use for their specific needs, as well as providing guidance on how to implement and manage AI projects.

Sia Partners is a specialist Management Consulting firm in 1999 and has grown into a global firm with approximately 2200 employees and annual revenue exceeding $400m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Our global presence and our expertise in more than 30 sectors and services allows us to accompany clients worldwide. Using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Through Consulting for Good, we put our expertise at the service of our clients' climate objectives and make sustainable development a performance lever for our clients.

Welcome to the December 2022 edition of Baseline, Accenture Federal Services' monthly machine learning newsletter. In Baseline, we share insights on important advances in machine learning technologies likely to impact our federal customers. This edition is a special year-end roundup - our chance to highlight some of the most interesting and impactful advances that occurred in the machine learning space this year. These developments have pushed the boundaries of what is possible with machine learning and will continue to have far-reaching ramifications next year and beyond. We're excited to see what's next.

How do we leverage AI and intelligent tools to make better decisions? How can we utilize intelligent technology to upskill our workforce and increase AI fluency? In our latest AI Ignition episode, Cynthia Breazeal, associate director of the MIT Media Lab and dean for digital learning at MIT Open Learning, shares the implications of social robotics in business and applying AI at scale. We're understanding a lot about what it takes to build technologies that can really deeply and meaningfully engage people of all ages to help them achieve deeply important goals in their lives. Cynthia Breazeal is the professor of media arts and sciences at MIT Media Lab where she founded and directs the Personal Robots group.

One in five enterprises sees modernizing its data infrastructure for AI as the top AI initiative to ... [ ] gain a competitive edge today. These and many other fascinating insights are from Deloitte Insights' Survey: State of AI in the Enterprise, Third Edition: Thriving in the Era of Pervasive AI. A PDF of the study is available for download here (28 pp., PDF, no opt-in). Deloitte surveyed 2,737 IT and line-of-business executives between October and December 2019 from nine countries. To qualify for the study, all responding executives needed to have experience evaluating, budgeting for and implementing AI investments.

Robotic process automation (RPA) is already delivering value, and early movers in shared services and other administrative organizations are achieving significant benefits

What does it take to bring powerful change? Just as DevOps is bringing this to software development, you can use DevOps to power up your AI model delivery. The next wave of competitive advantage is expected to come from technology such as artificial intelligence (AI), emerging technologies like blockchain and the imperative for every company to move to the cloud. Overnight, we've the seen speed of the shift to these digital technologies go from years to months or even days. And to support this change, the number of intelligent automation and AI implementations are increasing fast.

Nearly 10 years later, Dataiku is helping to operationalize AI across a range of business use cases, from fraud detection and customer churn prevention to predictive maintenance and supply chain optimization. If the final destination is weaving AI capabilities so thoroughly into the fabric of day-to-day work that people forget it's there, enterprises are typically somewhere in the middle of the journey, Douetteau says. To get there, they should look inward. In this "AI From the Front Lines" interview, Douetteau and Romain Fouache, Dataiku's chief revenue officer, speak with Beena Ammanath, executive director of the Deloitte AI Institute, about their vision of AI in the enterprise, the importance of building systemization and trust for AI, and how execution will be more important than innovation in democratizing the technologies. "It's not a technology issue--we can build platforms able to continually process and enhance data and build new AI on top to optimize business processes," Douetteau says.

Sia Partners is a specialist Management Consulting firm in 1999 and has grown into a global firm with approximately 2200 employees and annual revenue exceeding $400m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Our global presence and our expertise in more than 30 sectors and services allows us to accompany clients worldwide. Using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service. Through Consulting for Good, we put our expertise at the service of our clients' climate objectives and make sustainable development a performance lever for our clients.