#Accenture

[winethorn]

sorry it’s only english

♡

[anchesetuttinoino]

Pensavo solo in UniCredit si sanzionasse chi entra al lavoro con 10 minuti d'anticipo. Il comunicato in BNL.

Sì, avete letto bene. Non in ritardo, ma in anticipo. A quanto pare in ogni banca i lavoratori hanno i loro problemi da risolvere, con una costante: stress e mortificazione del lavoratore. Questi stanno diventando i tratti distintivi dei vari istituti di credito. Un tempo invece gli elementi che eccellevano erano professionalità, stabilità lavorativa ed una retribuzione competitiva. Cambiano i…

[jcmarchi]

French initiative for responsible AI leaders - AI News

New Post has been published on https://thedigitalinsider.com/french-initiative-for-responsible-ai-leaders-ai-news/

French initiative for responsible AI leaders - AI News

ESSEC Business School and Accenture have announced the launch of a new initiative, ‘AI for Responsible Leadership,’ which marks the 10th anniversary of the establishment of the role of Chair at ESSEC, titled the ESSEC Accenture Strategic Business Analytics Chair.

The initiative aims to encourage the use of artificial intelligence by leaders in ways that are responsible and ethical, and that lead to high levels of professional performance. It aims to provide current and future leaders with the skills they require when faced with challenges in the future; economic, environmental, or social.

Several organisations support the initiative, including institutions, businesses, and specialised groups, including ESSEC Metalab for Data, Technology & Society, and Accenture Research.

Executive Director of the ESSEC Metalab, Abdelmounaim Derraz, spoke of the collaboration, saying, “Technical subjects are continuing to shake up business schools, and AI has opened up opportunities for collaboration between partner companies, researchers, and other members of the ecosystem (students, think tanks, associations, [and] public service).”

ESSEC and Accenture aim to integrate perspectives from multiple fields of expertise, an approach that is a result of experimentation in the decade the Chair has existed.

The elements of the initiative include workshops and talks designed to promote the exchange of knowledge and methods. It will also include a ‘barometer’ to help track AI’s implementation and overall impact on responsible leadership.

The initiative will engage with a network of institutions and academic publications, and an annual Grand Prix will recognise projects that focus on and explore the subject of AI and leadership.

Fabrice Marque, founder of the initiative and the current ESSEC Accenture Strategics Business Analytics Chair, said, “For years, we have explored the potential of using data and artificial intelligence in organisations. The synergies we have developed with our partners (Accenture, Accor, Dataiku, Engie, Eurofins, MSD, Orange) allowed us to evaluate and test innovative solutions before deploying them.

“With this initiative, we’re taking a major step: bringing together an engaged ecosystem to sustainably transform how leaders think, decide, and act in the face of tomorrow’s challenges. Our ambition is clear: to make AI a lever for performance, innovation and responsibility for […] leaders.”

Managing Director at Accenture and sponsor of the ESSEC/Accenture Chair and initiative, Aurélien Bouriot, said, “The ecosystem will benefit from the resources that Accenture puts at its disposal, and will also benefit our employees who participate.”

Laetitia Cailleteau, Managing Director at Accenture and leader of Responsible AI & Generative AI for Europe, highlighted the importance of future leaders understanding all aspects of AI.

“AI is a pillar of the ongoing industrial transformation. Tomorrow’s leaders must understand the technical, ethical, and human aspects and risks – and know how to manage them. In this way, they will be able to maximise value creation and generate a positive impact for the organisation, its stakeholders and society as a whole.”

Image credit: Wikimedia Commons

See also: Microsoft and OpenAI probe alleged data theft by DeepSeek

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[rishikamalviya23]

Unravelling the Rise and Fall of Arthur Andersen: A Legacy of Audit and Scandal

Arthur Andersen was an American accounting firm based in Chicago that provided auditing, tax advising, consulting, and professional services to large corporations. By 2001, it had become one of the world's largest multinational corporations and was one of the “Big Five “accounting firms 9 along with Deloitte & touché, Ernst Young, KPMG, and PricewaterhouseCoopers.

 In 1913, two persons Andersen and Clarence founded an accounting firm as Andersen, Delany & Co.] Later the firm changed its name to Arthur Andersen & Co. in 1918. Arthur Andersen's first client was the Joseph Schlitz brewing company in Milwaukee. In 1915 due to his many contacts there, he was opened as the firm’s second office. In 1927 Mr. Arthur Andersen was elected to the board of trustees of Northwestern University and served as its president from 1930 to 1932. He was also the chairman of the CPA examiner in Illinois.

IN 1970 Arthur Andersen started growing fast and its revenue began to grow. very fast. Its client base started increasing and clients started believing in it. And become one of the Big Five firms in the market with excellent brand value.  Arthur Andersen was the first of the major accountancy firms to propose to the financial accounting standard board that employee stock options should be treated as an expense, thus impacting net profit just as cash compensation would.

It also started its consultancy firm named “Andersen Consultancy” It is separate from Arthur Andersen and provides audit, accounting, and tax practice. “Andersen Consultancy “which provides guidance and market information grow rapidly in the market between 1971 to 1981 due to which dispute between Arthur Andersen and Andersen Consultancy began and were facing many problems. In 2000, after the international billion in past payments to Arthur Andersen, and declared that Andersen Consulting could no longer use Andersen's name. As a result, Andersen Consulting needs to change its name to Accenture on January 1, 2001.

In the 2001 scandal energy giant Enron was found to have fraudulently reported $100 billion in revenue through institutional and systematic accounting fraud.  The evidence available that Andersen fail to fulfil its responsibility Because the US Security exchange commission will not accept audits rom convicted felons, the firm agreed to surrender its CPA licenses and its right to practice before the SEC on August 31, 2002—vanished firm out of business. In 2002, just nine months after the scandal broke, the firm was found guilty of a crime in auditing Enron.

[nando161mando]

UNION-BUSTING AT GOOGLE!!! Last week~80 Google Help workers subcontracted thru Accenture received layoff notices. This announcement from Google/Accenture comes just weeks after 119 Google Help workers announced their unionization efforts with AWU-CWA

[j0sephin0]

[alertbrilliant4204]

The Role of Semiconductor Engineering Services Acquisitions (2018-2024) in Enabling 5G and Next-Gen Connectivity

The rise of 5G and next-generation connectivity has been fueled by semiconductor acquisitions between 2018 and 2024. Key players like Accenture, Capgemini, and LTTS have acquired semiconductor firms specializing in high-speed chipsets, network optimization, and AI-powered connectivity solutions. These acquisitions have paved the way for faster, more efficient networks

[nationallawreview]

FTC Surveillance Pricing Study Uncovers Personal Data Used to Set Individualized Consumer Prices

The Federal Trade Commission’s initial findings from its surveillance pricing market study revealed that details like a person’s precise location or browser history can be frequently used to target individual consumers with different prices for the same goods and services. The staff perspective is based on an examination of documents obtained by FTC staff’s 6(b) orders sent to several companies…

[abiodun-360degree]

Why construction companies fail or shut down operations, along with practical examples and advice on how to avoid these pitfalls

Why construction companies fail or shut down operations, along with practical examples and advice on how to avoid these pitfalls:The Construction Industry’s Hidden Dangers: Why Companies Fail and How to Avoid the PitfallsThe construction industry is a complex and competitive field, where companies must navigate a delicate balance of costs, timelines, and quality. Despite the industry’s importance…

[procurement-insights]

The last 30 seconds of Kris Timmermans' DPW presentation is shocking - but not in a good way

Why did Kris Timmermans' DPW presentation closing miss the mark?

The following is a DPW post on LinkedIn: Why do some companies scale AI while others get stuck in the proof of concept stage?Accenture research reveals that 75% of executives fear their business won’t survive without scaling AI in the next 5 years. Yet, 76% are struggling to make it happen.At hashtag#DPWAmsterdam, Accenture’s Kris Timmermans highlighted 3 key factors that drive the shift from…

[jcmarchi]

The Future of GenAI in Regional Banks and Credit Unions

New Post has been published on https://thedigitalinsider.com/the-future-of-genai-in-regional-banks-and-credit-unions/

The Future of GenAI in Regional Banks and Credit Unions

Historically, regional banks and credit unions have built their brands through personal relationships with their account holders. For example, it wasn’t unusual for you to know the name of your teller’s spouse and for them to know your kids’ names. Indeed, personal relationships have been the hallmark of smaller financial institutions and what has set them apart from their larger competitors. The digitization of banking has made forging personal relationships a challenge, eroding the differentiator and leaving smaller institutions searching for a way to reset the board.

Enter generative artificial intelligence (GenAI), which is a subset of AI technologies that uses large language models (LLMs) to learn patterns from large datasets. It then uses the patterns with prompts and directions from a human to create new text content that resembles or enhances original, human-generated work.

The 2025 Retail Banking Trends and Priorities report we sponsored this year found that 80% of organizations believe digital agents will rely on generative AI for real-time personalized marketing communications by 2030 and 76% of financial institutions believe that most financial institutions will be using GenAI by 2030. We actually believe the percentage should be higher, given that GenAI can substantially increase productivity, support better data-driven human decision-making, help deliver improved and more personalized digital customer experiences, and boost the bottom line significantly.

How significantly? At the end of 2023, The McKinsey Global Institute estimated that, among industries globally, GenAI could add the equivalent of $2.6 trillion to $4.4 trillion annually in value across the 63 use cases it analyzed. Among industry sectors, banking is expected to have one of the largest opportunities, with the potential to deliver between $200 and $340 billion in new value to retail banking — largely from increased productivity.

Faster, Better, Happier

There’s a misconception that AI will take jobs from humans. But the power of GenAI is that it produces content based on data and information plus prompts and directions given by humans. It’s an enhancement tool, not a replacement tool.

Currently, GenAI in banking is mostly used to automate critical but repetitive tasks or processes, including security, loan origination, fraud detection, and to deliver better automated service experiences. Allowing GenAI to take over the mundane work associated with these and other processes not only increases efficiency and productivity, it also frees up the employees doing that work to focus on more meaningful assignments, thus making their jobs more satisfying.

One of the primary ways regional banks and credit unions can differentiate themselves is by personalizing and elevating the digital banking experience of account holders. Specifically, the technology facilitates deeper insights into their behavior and predilections to help anticipate their needs. So, products and services that meet those needs can be offered to them in the same way Netflix offers its customers curated entertainment, and Amazon offers its customers entertainment and products — based on customer behavior and preferences.

Similarly, the data gathering and deep analysis possible with GenAI enables the creation of personalized content, so each account holder will see only content (including marketing campaigns) relevant to them at a certain time in their life. It makes no sense for a middle-aged woman who owns her own home and has a good salary and credit score to see the same content as a recent college graduate who’s trying to pay off student loans and still aspires to own a home.

The Human Touch

The inclusion of human decision-making and oversight are critical to building GenAI solutions for banking. Our formula for successful integration of GenAI is to start with deep learning models trained specifically on large banking datasets. These models, which have also been trained to learn the patterns and structures of human language, then create natural responses to user queries or prompts. Human involvement is crucial to ensure that AI-generated responses are accurate and align with ethical standards, regulatory compliance and customer needs — while mitigating potential risks and biases.

Tomorrow’s Tech, Today

The potential of GenAI to transform regional banks and credit unions is unbounded. The financial institutions that succeed in integrating the technology will be those that start strategizing for the future while focusing investments on high-potential and lower-risk applications, today.

Here are four primary ways we see GenAI making immediate and substantial impacts in the service of banking.

Driving strategic growth

The McKinsey report calculated that corporate and retail banking will benefit the most from the correct deployment of GenAI. On the corporate banking side, the highest potential is enhanced human-in-the-loop decision-making, automated risk assessment models and operational efficiencies through automation. Retail banking stands to benefit from personalized banking experiences, improved customer service and marketing innovations.

Powering operational efficiency

In a report on the top banking trends for 2023, Accenture identified banking as the industry most likely to be thoroughly impacted by GenAI and the industry with the greatest potential to increase output with the technology, with 34% of current workflows ripe for GenAI enhancement. It also found that financial institutions that adopt GenAI can improve their productivity by up to 30%.

But even with the potential for GenAI to improve efficiency, human expertise remains the key to success. Using specific banking knowledge, internal teams can train the models to be accurate and to assess complexities the way humans can. But they can scale faster and to a level far beyond human capacity. 

Leveling the playing field between larger and smaller institutions

We’ve seen a few of the ways GenAI can benefit regional banks and credit unions, including increasing productivity and enabling personalized account holder experiences. It’s a positive sign that notoriously risk-averse bankers are recognizing the myriad benefits of GenAI, with adoption rates rising, but we still see too many regional financial institutions hesitant to jump on board.

While they dawdle, the big financial institutions are on the move. And they are only skimming the surface in leveraging the power of GenAI. Those who continue to be overly cautious will be permanently left behind. The thing to remember is GenAI tools can be ring-fenced, connected to proprietary data and kept internally.

Delivering collective intelligence

Collective intelligence is created when individuals and groups work together. Components may include group decision-making, consensus formation, ideation from different sources and motivation from competition. Traditionally, leveraging collective intelligence was done by documenting institutional knowledge and sharing it through training and job experience. GenAI elevates the benefits of collective intelligence — easily and in real time. 

The successful adoption and increasing integration of GenAI in regional financial institutions will require LLMs specifically trained on banking data and deep industry knowledge. But the crucial element is human collaboration and oversight. Remember, GenAI is an enhancement tool, not a replacement tool.

[anchesetuttinoino]

BCC Sistemi Informativi a rischio outsourcing?