Deloitte India launches Generative AI to focus on upskilling talent
Deloitte solutions and services cover almost every industry and domain, including areas such as enterprise software packages, tax, regulatory advice, and sector-specific use cases. Built on NVIDIA AI Foundations and NVIDIA NeMo LLM software, the new applications will leverage Deloitte’s services and Generative AI Market Incubator to rapidly deploy proofs of concept, set up AI factories and help clients accelerate their enterprise transformation efforts. Clients benefit from the breadth and depth of AI capabilities and experience that span Deloitte’s businesses and industry-leading audit and assurance, tax and legal, consulting, risk advisory, and financial advisory services.
AI to rapidly disrupt Australian economy: Deloitte – The Australian Financial Review
AI to rapidly disrupt Australian economy: Deloitte.
Posted: Mon, 04 Sep 2023 07:00:00 GMT [source]
Characterized by its ability to produce novel outputs, be it text, images, or even code, Generative AI isn’t just another tech trend – it’s rapidly shaping the way businesses think, operate, and innovate. Deloitte experts have hands-on experience in Generative AI and carefully examine your business and propose ways through which customers can leverage the potential of Generative AI and Foundation Models to accelerate productivity and expedite Yakov Livshits innovation in business endeavors. Another limiting factor is that today’s Generative AI models generate artifacts based on the model itself and the input prompt. Other additional sources and datasets cannot currently be integrated directly into the model’s internal information processing without costly re-training or fine-tuning, which means Generative AI models can only access information extracted from the data on which they were trained.
Deloitte Extends RISE with SAP solution capabilities with Premium Supplier Designation for Cloud Managed Services
This is the first partnership with a large language model provider that McKinsey has announced as it joins other global consulting firms to tap into the global AI frenzy kicked off by the popular Microsoft-backed OpenAI’s ChatGPT. For nearly two decades CMSWire, produced by Simpler Media Group, has been the world’s leading community of customer experience professionals. Deloitte’s AI services, talent and industry proficiency draws on the power, performance, and scalability offered with NVIDIA DGX™ AI supercomputing and NVIDIA DGX Cloud. Stay updated with the latest news, expert advice and in-depth analysis on customer-first marketing, commerce and digital experience design. Looking specifically at the finance function, CFOs say the top potential uses for GenAI is for forecasting and analysis, automating transactional processes, and increased efficiency and cost reduction. The survey findings are based on a survey of 116 CFOs taken from July 31 to Aug. 20, the majority from public companies with more than $1 billion in annual revenue.
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)
This will result in improved productivity, enhanced customer experiences, and a competitive edge in the market. Moreover, Deloitte has also announced a co-innovation initiative with Google Cloud to assist consumer businesses in transforming their operations to enhance customer experiences. Deloitte’s ConvergeCONSUMER solutions are now available on Google Cloud and integrate their data analytics, artificial intelligence (AI), and Generative AI (Gen AI) capabilities.
Technology, Media, and Telecommunications (TMT)
Additionally, the practice works in concert with the Deloitte AI Academy™ to bridge the AI talent gap and train thousands of practitioners on a wide range of AI skills, including model development and prompt engineering. “From adding contextual awareness and human-like decision making to launching new business models and driving tangible changes in productivity across a range of industries, Generative AI is transforming the way we work. The Generative AI practice works in conjunction with the Deloitte AI Institute, which supports the responsible growth and development of AI through engaged conversations and market perspectives. Already a number of use cases around developer productivity, fraud detection, supply chain optimization, smart factory among others are being considered for deployment with anticipated significant benefits.
Ultimately, Deloitte aims to democratize the usage and application of generative AI across enterprise systems and significantly enhance human potential. This announcement follows the launch of Deloitte’s Generative AI practice which helps clients harness the power of Generative AI and Foundation Models to enhance productivity and accelerate the pace of business innovation. Clara Shih, Salesforce AI CEO, highlights the necessity for organizations to become AI-first companies in order to remain competitive. She believes that the adoption of technologies rooted in trust and transparency is crucial for businesses to confidently deploy AI for CRM. The collaboration between Salesforce and Deloitte Digital aims to equip organizations with the strategies and technologies they need to drive personalized customer experiences and achieve immediate business outcomes. The collaboration between Salesforce and Deloitte Digital signifies their shared dedication to building the foundation for AI-driven transformation in sector-specific CRM use cases.
Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.
Certain services may not be available to attest clients under the rules and regulations of public accounting. The Generative AI practice works in conjunction with the Deloitte AI Institute, which supports the responsible growth and development of AI through engaged conversations and market perspectives. Deloitte is committed to the safe and responsible use of Generative AI, guided by its Trustworthy AI™ framework which helps clients develop necessary safeguards and balance competing ethical priorities during product development and operation. Deloitte announced a new practice designed to help clients harness the power of Generative AI and Foundation Models to exponentially enhance productivity and accelerate the pace of business innovation. Deloitte has received Google Cloud Premier Partner Status, reserved for organizations that have demonstrated the highest levels of competency. This status provides access to premier-level training and tools, including specializations in data management, cloud migration, data analytics and machine learning.
![deloitte generative 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)
The firm says this simplifies the engagement between humans and digital systems, enhancing productivity and innovation at an accelerated pace. Generative AI refers to algorithms that can create content, including text, images, sounds, 3D models, or animations, based on a set of inputs. Alex McFarland is a Brazil-based writer who covers the latest developments in artificial intelligence. “Deloitte’s Generative AI practice will catalyze this transformation, facilitating the development and implementation of innovative AI-driven solutions by leveraging global alliances. Generative AI Technology helps businesses create engaging and personalized content for their audience by analyzing data and identifying patterns in user behavior. You can also automate tasks such as generating product descriptions or generating social media posts by freeing time to focus on other tasks.
These solutions will address significant challenges facing enterprises today and are designed with ease-of-use in mind so that developers, employees and IT teams can immediately see value from their AI investments. Among the integrations for ConvergeCONSUMER is Google Cloud Vertex AI, where Deloitte proprietary consumer and market data and algorithms power the Vertex AI platform to accelerate business Yakov Livshits decision-making. This integration enables users to build and train machine learning (ML) models, based on either pre-trained or custom AI models, to create successful business outcomes and enhance business analysis. “The fever pitch of excitement around generative AI speaks to its potential to elevate how businesses are run and reinvent how work is done,” said Joe Ucuzoglu, Deloitte Global CEO.
![deloitte generative 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)
Generative AI has the potential to transform finance and business operations as we now know them. Consulting firm Deloitte has launched a generative artificial intelligence practice for the African market. “As a comparison, it took five years for voice-assisted speakers to achieve the same adoption levels. It is incredibly rare for any emerging technology to achieve these levels of adoption and frequency of usage so rapidly.”
It is incredibly rare for any emerging technology to achieve these levels of adoption and frequency of usage so rapidly,” said Paul Lee, a Deloitte Partner. A crucial aspect of Deloitte’s Generative AI practice is its focus on enabling and upskilling talent. At its core, the practice includes a Generative AI Market Incubator staffed by a dedicated team of AI engineers who specialize in the rapid development of Generative AI pilot programs and proofs of concept.
- The Academy works in conjunction with the Deloitte AI Institute, providing learning and development to complement the Institute’s focus on supporting the positive growth and development of AI through engaged conversations and innovative research, inclusive of Trustworthy AI framework.
- “Deloitte has decades of experience helping improve businesses in every sector, and our joint commitment to bring the power of Generative AI to businesses in a safe and responsible way creates incredible opportunities for innovation with our joint customers.”
- As the demand for AI expertise continues to soar, Deloitte’s commitment to nurturing talent and fostering innovation in Generative AI positions it at the forefront of the AI revolution.
- It really allows our clients to uncover hidden growth paths and unlock competitive advantage,” said McGuire Christian.
About DeloitteDeloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 8,500 U.S.-based private companies. At Deloitte, we strive to live our purpose of making an impact that matters by creating trust and confidence in a more equitable society. We leverage our unique blend of business acumen, command of technology, and strategic technology alliances to advise our clients across industries as they build their future. Bringing more than 175 years of service, our network of member firms spans more than 150 countries and territories. Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 8,500 U.S.-based private companies. At Deloitte, we strive to live our purpose of making an impact that matters by creating trust and confidence in a more equitable society.
LLMs, generative AI loom large for MLOps practices – SDxCentral
LLMs, generative AI loom large for MLOps practices.
Posted: Mon, 28 Aug 2023 07:00:00 GMT [source]
To understand how Generative AI will impact business and life, we need to understand what it is, what it can do, and what it cannot do, yet. In late 2022, with the release of an easy-to-use Generative AI chatbot, more people began to discover and imagine how this new technology can be used in the creative space. The chatbot use case opened the door for thinking more broadly about how Generative AI can be used for tasks, ranging from writing copy to generating 3D structures and to outputting organizational processes. As such, we are now seeing the automation of some skills around creativity and imagination sooner than many expected. The assumed roadmap for AI was that, in the shorter term, AI is most valuable as a way to automate operational skills, and creative skills will remain the exclusive province of human thinking for the foreseeable future.