Bottom Line: Using AI to measure and predict revenue, costs, and margin across all Professional Services (PS) channels leads to greater accuracy in predicting payment risks, project overruns, and service forecasts, reducing revenue leakage in the process. Professional Services' Revenue Challenges Are Complex Turning time into revenue and profits is one of the greatest challenges of running a Professional Services (PS) business. What makes it such a challenge is incomplete time tracking data and how quickly revenue leaks spring up, drain margins, and continue unnoticed for months. Examples of revenue leaks across a customers' life cycles include the following: Adding up all these examples and many more can easily add up to 20-30% of actual lost solution and services margin. Selling projects and the promise of their outcomes in the future create a unique series of challenges for PS organizations when it comes to controlling revenue leakage.

Focus on expanding our business through exploiting data sources and using scientific processes and technologies to uncover and communicate key insights. Focus on unusually complex problems and provide highly innovative solutions for clients. Maintain responsibility for leading client calls, capture efforts, and large proposal efforts. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. We're an EOE that empowers our people--no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic--to fearlessly drive change.

On Wednesday, Deloitte is set to launch a new artificial intelligence (AI)-focused virtual initiative in Canada, aimed to foster research and AI adoption across industries. The initiative, which is being called the Deloitte AI Institute in Canada, will bring together practitioners, clients, and ecosystem partners, such as academics and research institutions, to exchange knowledge and information regarding the field of AI. Deloitte is one of a number of large firms that have recently sought to invest in Canada's AI ecosystem. The initiative will also host virtual events allowing Canadian medium-to-large organizations to better understand AI, learn from more mature organizations, and create an ecosystem of AI partners that can help them adopt AI or scale up its use. The institute will not have a physical location, but will instead be run remotely.

Although growing numbers of organisations are working with artificial intelligence (AI) software in some shape or form, very few are generating significant financial benefits when rolling it out in a serious way, according to new research. A study conducted by the MIT Sloan Management Review and management consulting firm the Boston Consulting Group revealed that as many as 57% of the 3,000 managers, executives and academics questioned were currently either piloting or deploying the technology. A further 59% had devised an AI strategy and 70% believed they understood how the software could generate business value. Despite this situation, the report, Expanding AI's impact with organizational learning, indicated that just one in 10 organisations were deriving significant financial value from the technology. When exploring the reasons why, researchers found that simply getting the basics right – that is, having an appropriate strategy with the right supporting data, technology and skills in place – was not enough.

With AI use continuing to grow in adoption throughout enterprise IT, Deloitte is creating a new Deloitte Center for AI Computing to advise its customers, explain the technology and help them use it in their ongoing business and growth plans. Designed to provide a cloud-accessible accelerated platform that Deloitte clients can use to test and explore various AI strategies and tools, the infrastructure features six Nvidia DGX A100 systems, Nvidia Mellanox networking, high-performance storage and Nvidia software. The platform will be physically hosted in Deloitte's datacenter in Hermitage, Tenn., but will also be part of a virtual service. Based on Nvidia's DGX POD reference architecture and harnessing the power of 48 A100 GPUs, the installation will serve as an AI acceleration engine for Deloitte's clients, the company said. The new facility was announced on Tuesday (March 2).

Deloitte has launched the Deloitte Center for AI Computing, designed to accelerate the development of artificial intelligence offerings for its clients. The center is built on NVIDIA's DGX A100 systems to create a supercomputing architecture that will help Deloitte's clients in their efforts to become AI-fueled organizations. The accelerated computing platforms feature NVIDIA graphics processing unit technology, along with its networking and software for advanced data processing, analytics and AI by bringing massive parallel processing capability and speed to deep learning, machine learning and data science workloads, the company said. Deloitte's State of AI in the Enterprise survey found that more than half of respondents reported spending more than $20 million over the past year on AI technology and talent. Nearly all adopters said they were using AI to improve efficiency, while mature adopters are also harnessing the technologies to boost differentiation.

With AI use continuing to grow in adoption throughout enterprise IT, Deloitte is creating a new Deloitte Center for AI Computing to advise its customers, explain the technology and help them use it in their ongoing business and growth plans. Designed to provide a cloud-accessible accelerated platform that Deloitte clients can use to test and explore various AI strategies and tools, the infrastructure for the virtual center will be physically hosted in Deloitte's data center in Hermitage, Tenn., featuring an Nvidia DGX POD with six Nvidia DGX A100 systems as its core. The Deloitte Center for AI Computing will also be equipped with Nvidia Mellanox networking and high-performance storage to help clients create with AI, according to the company. The new facility was announced on Tuesday (March 2). "The Nvidia systems are being deployed this month and the center will be available to clients starting later in March," Nitin Mittal, the AI strategic growth offering leader for Deloitte Consulting, told EnterpriseAI.

Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, are forecast to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the IDC Worldwide Semiannual Artificial Intelligence Tracker. By 2024, the market is expected to break the $500 billion mark with a five-year compound annual growth rate (CAGR) of 17.5% and total revenues reaching $554.3 billion. Among the three technology categories, software represented 88% of the total AI market revenues in 2020. However, it is the slowest growing category with a five-year CAGR of 17.3%. Within the AI software category, AI Applications took the largest share of revenue at 50% in 2020.

WIRE)--Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services, is estimated to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. By 2024, the market is expected to break the $500 billion mark with a five-year compound annual growth rate (CAGR) of 17.5% and total revenues reaching an impressive $554.3 billion. Among the three technology categories, software represented 88% of the total AI market revenues in 2020. However, it is the slowest growing category with a five-year CAGR of 17.3%. Within the AI software category, AI Applications took the largest share of revenue at 50% in 2020.

Medb Corcoran, Ireland lead for Accenture Labs, talks about her career journey and why data skills will be critical for businesses going forward. As the Ireland lead for Accenture Labs, Medb Corcoran oversees a team of AI researchers that seeks to address critical business problems with tools such as machine learning, natural language processing and knowledge representation. This team is based at The Dock, Accenture's R&D and innovation centre in Dublin. Corcoran is also the company's global responsible AI lead for technology innovation, helping organisations integrate a data-driven assessment of algorithmic fairness into their processes. Here, she reflects on her career and why she believes workplaces of the future will rely on data skills like never before.