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Ecosystm Insights - Page 27 of 86 - A new age Technology Research platform to help you access latest market insights,expert opinions and research data
Point Zero Forum-2023
Navigating the Financial Frontier: Point Zero Forum 2023

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After the resounding success of the inaugural event last year, Ecosystm is once again partnering with Elevandi and the State Secretariat for International Finance SIF as a knowledge partner for the Point Zero Forum 2023. In this Ecosystm Insights, our guest author Jaskaran Bhalla, Content Lead, Elevandi talks about the Point Zero Forum 2023 and how it is all set to explore digital assets, sustainability, and AI in an ever-evolving Financial Services landscape.

The Point Zero Forum is returning for its second edition between 26 to 28 June 2023 in Zurich, Switzerland. The inaugural Forum held in June 2022 attracted over 1,000 leaders and featured more than 200 esteemed speakers from Europe, Asia Pacific, the USA, and MENA. The Forum represents a collaboration between the Swiss State Secretariat for International Finance (SIF) and Elevandi and is organised in cooperation with the BIS Innovation Hub, the Monetary Authority of Singapore (MAS), and the Swiss National Bank.

As we gear up for this year’s Point Zero Forum, let’s take a moment to reflect on some of the pivotal developments that have shaped the Financial Services industry since the previous Forum and also moulded the three key themes that will take centre stage this year: Sustainability, Artificial Intelligence (AI), and Digital Assets.

COP27, the rise of blended finance and the groundbreaking Net-Zero Public Data Utility

In November 2022, the Government of the Arab Republic of Egypt hosted the 27th session of the Conference of the Parties of the UNFCCC (COP27), with a view to accelerate the transition to a low-carbon future. In the build-up to COP27, Ravi Menon, the Managing Director of the MAS spoke at the inaugural Transition Finance towards Net-Zero conference and shared with the audience that the world is currently not on a trajectory to achieve net-zero emissions by 2050. And according to the UN Emissions Gap report 2021, based on the current policies in place, the world is 55% short of the emissions reduction target for 2030. He also elaborated on the significant role that blended finance can play in tackling climate change, a theme that widely resonated with the global leaders at COP27. To enable easy and transparent reporting on climate commitments, the Climate Data Steering Committee (CDSC) outlined the next steps on its recommended plans for the Net-Zero Data Public Utility (NZDPU) at COP 27. NZDPU aims to aid efforts to transition to a net-zero economy by addressing data gaps, inconsistencies, and barriers to information that slow climate action.

The Point Zero Forum 2023 will deep-dive into the data, technologies, and capital and risk management solutions that can accelerate the fair transition towards a low-carbon future.

Panel Discussion Highlight: The opening panel discussion, “Data for Net-Zero: Views from the Climate Data Steering Committee,” scheduled for 26 June, will feature members of the CDSC, which include the Financial Conduct Authority, the MAS, Glasgow Financial Alliance for Net Zero (GFANZ), and the Swiss State Secretariat for International Finance. The panel will discuss the role of new technologies and collaborative platforms in promoting greater accessibility of transition data and innovative business models.

The launch of ChatGPT by OpenAI and its record for the fastest 100M monthly active users

The launch of ChatGPT by OpenAI on 30 November, 2022 led to widespread adoption by users globally – eventually setting the record for the fastest-growing, active users, hitting 100M monthly active users by Feb 2023. While on one hand users rushed to share enormous efficiency gains achieved by the use of ChatGPT, on the other hand ChatGPT soon became a disruptive tool to spread fake news.

The Point Zero Forum 2023 will deep-dive into Generative AI’s potential for enhancing efficiency, improving risk management, and providing better customer experience in the Financial Services industry, while highlighting the need for ensuring fair, ethical, accountable, and transparent use of these technologies.

Panel Discussion Highlight: The session “Breaking New Ground with Generative AI: Project MindForge”, scheduled for 27 June, will feature global leaders from NVIDIA, the MAS, Citigroup and Bloomberg. The panel will discuss the opportunities of Generative AI for the Financial Services sector.

MiCA regulation gets adopted by the EU lawmakers and sets a precedent for digital asset regulations

More than 2.5 years after it was first proposed, the EU Markets in Crypto-Assets (MiCA) regulation was approved in April 2023 by EU Parliament. While there is still work to be done to implement MiCA and measure its success, and to answer open questions around regulation for out-of-scope assets (like DeFI and NFTs), the digital assets industry is keenly observing whether MiCA could serve as a template for global crypto regulation. In May 2023, the International Organization Of Securities Commissions (IOSCO), the global standard setter for securities markets, also joined the global discussion on digital asset regulation by issuing for consultation detailed recommendations to jurisdictions across the globe as to how to regulate crypto assets.

The Point Zero Forum 2023 will do a stocktake on key global regulatory frameworks, market infrastructure, and use cases for the widespread adoption of digital assets, asset tokenisation, and distributed ledger technology.

Panel Discussion Highlight: The sessions “State of Global Digital Asset Regulation: Navigating Opportunities in an Evolving Landscape” and “Interoperability and Regulatory Compliance: Building the Future of Digital Asset Infrastructure”, scheduled on 26 and 27 June respectively, will feature global leaders from both public sector (such as the MAS, Bank of Italy, Bank of Thailand, U.S. Commodity Futures Trading Commission, EU Parliament) and private sector organisations (such as JP Morgan, Sygnum, SBI Digital Assets, Chainalysis, GBBC, SIX Digital Exchange). The discussions will centre around digital asset regulations and key considerations in the rapidly evolving world of digital assets.

Point Zero Forum - Registration

Register here at https://www.pointzeroforum.com/registration. Receive 10% off the Industry Pass by entering the code ‘JB10’ at check out. (Policymakers, regulators, think tanks, and academics receive complimentary access/ Founders of tech companies (incorporated for less than 3 years) can apply for a discounted Founder’s Pass)

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Ecosystm VendorSphere: Salesforce AI Innovations Transforming CRM ​

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Organisations are moving beyond digitalisation to a focus on building market differentiation. It is widely acknowledged that customer-centric strategies lead to better business outcomes, including increased customer satisfaction, loyalty, competitiveness, growth, and profitability.

AI is the key enabler driving personalisation at scale. It has also become key to improving employee productivity, empowering them to focus on high-value tasks and deepening customer engagements.

Over the last month – at the Salesforce World Tour and over multiple analyst briefings – Salesforce has showcased their desire to solve customer challenges using AI innovations. They have announced a range of new AI innovations across Data Cloud, their integrated CRM platform. ​

Ecosystm Advisors Kaushik Ghatak, Niloy Mukherjee, Peter Carr, and Sash Mukherjee comment on Salesforce’s recent announcements and messaging.

Read on to find out more. ​

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Your-Organisation-Needs-an-AI-Ethics-Policy-TODAY
Your Organisation Needs an AI Ethics Policy TODAY!

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It is not hyperbole to state that AI is on the cusp of having significant implications on society, business, economies, governments, individuals, cultures, politics, the arts, manufacturing, customer experience… I think you get the idea! We cannot understate the impact that AI will have on society. In times gone by, businesses tested ideas, new products, or services with small customer segments before they went live. But with AI we are all part of this experiment on the impacts of AI on society – its benefits, use cases, weaknesses, and threats. 

What seemed preposterous just six months ago is not only possible but EASY! Do you want a virtual version of yourself, a friend, your CEO, or your deceased family member? Sure – just feed the data. Will succession planning be more about recording all conversations and interactions with an executive so their avatar can make the decisions when they leave? Why not? How about you turn the thousands of hours of recorded customer conversations with your contact centre team into a virtual contact centre team? Your head of product can present in multiple countries in multiple languages, tailored to the customer segments, industries, geographies, or business needs at the same moment.  

AI has the potential to create digital clones of your employees, it can spread fake news as easily as real news, it can be used for deception as easily as for benefit. Is your organisation prepared for the social, personal, cultural, and emotional impacts of AI? Do you know how AI will evolve in your organisation?  

When we focus on the future of AI, we often interview AI leaders, business leaders, futurists, and analysts. I haven’t seen enough focus on psychologists, sociologists, historians, academics, counselors, or even regulators! The Internet and social media changed the world more than we ever imagined – at this stage, it looks like these two were just a rehearsal for the real show – Artificial Intelligence. 

Lack of Government or Industry Regulation Means You Need to Self-Regulate 

These rapid developments – and the notable silence from governments, lawmakers, and regulators – make the requirement for an AI Ethics Policy for your organisation urgent! Even if you have one, it probably needs updating, as the scenarios that AI can operate within are growing and changing literally every day.  

  • For example, your customer service team might want to create a virtual customer service agent from a real person. What is the policy on this? How will it impact the person? 
  • Your marketing team might be using ChatGPT or Bard for content creation. Do you have a policy specifically for the creation and use of content using assets your business does not own?  
  • What data is acceptable to be ingested by a public Large Language Model (LLM). Are are you governing data at creation and publishing to ensure these policies are met?  
  • With the impending public launch of Microsoft’s Co-Pilot AI service, what data can be ingested by Co-Pilot? How are you governing the distribution of the insights that come out of that capability? 

If policies are not put in place, data tagged, staff trained, before using a tool such as Co-Pilot, your business will be likely to break some privacy or employment laws – on the very first day! 

What do the LLMs Say About AI Ethics Policies? 

So where do you go when looking for an AI Ethics policy? ChatGPT and Bard of course! I asked the two for a modern AI Ethics policy. 

You can read what they generated in the graphic below.

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I personally prefer the ChatGPT4 version as it is more prescriptive. At the same time, I would argue that MOST of the AI tools that your business has access to today don’t meet all of these principles. And while they are tools and the ethics should dictate the way the tools are used, with AI you cannot always separate the process and outcome from the tool.  

For example, a tool that is inherently designed to learn an employee’s character, style, or mannerisms cannot be unbiased if it is based on a biased opinion (and humans have biases!).  

LLMs take data, content, and insights created by others, and give it to their customers to reuse. Are you happy with your website being used as a tool to train a startup on the opportunities in the markets and customers you serve?  

By making content public, you acknowledge the risk of others using it. But at least they visited your website or app to consume it. Not anymore… 

A Policy is Useless if it Sits on a Shelf 

Your AI ethics policy needs to be more than a published document. It should be the beginning of a conversation across the entire organisation about the use of AI. Your employees need to be trained in the policy. It needs to be part of the culture of the business – particularly as low and no-code capabilities push these AI tools, practices, and capabilities into the hands of many of your employees.  

Nearly every business leader I interview mentions that their organisation is an “intelligent, data-led, business.” What is the role of AI in driving this intelligent business? If being data-driven and analytical is in the DNA of your organisation, soon AI will also be at the heart of your business. You might think you can delay your investments to get it right – but your competitors may be ahead of you.  

So, as you jump head-first into the AI pool, start to create, improve and/or socialise your AI Ethics Policy. It should guide your investments, protect your brand, empower your employees, and keep your business resilient and compliant with legacy and new legislation and regulations. 

AI Research and Reports
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5 Actions to Achieve Your AI Ambitions​

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Ecosystm Podcast Episode 22-Challenges and Drivers of Cognitive AI in Singapore’s BFSI Industry

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The-Future-of-Banking
The Future of Banking

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The global economy remains fragile due to multiple factors; and banking organisations will need to weather the storm. While large and well-capitalised banks are expected to fare better, there is a need for the industry to pursue new sources of value beyond traditional boundaries. ​

Banking industry leaders should be bold, proactive, and envision possibilities beyond current uncertainties. Technology has a key role to play in turning their innovation and resiliency goals into reality. ​

Read on to find out how the National Australia Bank, the Scottish National Investment Bank, the ANZ Bank, the Swiss National Bank, Mastercard, and the French banking group Crédit Agricole are leading the charge in driving innovation within the banking industry by investing in new technologies and exploring business models to better serve their customers.

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Download ‘The Future of Banking’ as a PDF

The Future of Industries

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Google's-AI-Powered-Code-Generator-Takes-on-GitHub-Copilot
Google’s AI-Powered Code Generator Takes on GitHub Copilot

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Google recently extended its Generative AI, Bard, to include coding in more than 20 programming languages, including C++, Go, Java, Javascript, and Python. The search giant has been eager to respond to last year’s launch of ChatGPT but as the trusted incumbent, it has naturally been hesitant to move too quickly. The tendency for large language models (LLMs) to produce controversial and erroneous outputs has the potential to tarnish established brands. Google Bard was released in March in the US and the UK as an LLM but lacked the coding ability of OpenAI’s ChatGPT and Microsoft’s Bing Chat.

Bard’s new features include code generation, optimisation, debugging, and explanation. Using natural language processing (NLP), users can explain their requirements to the AI and ask it to generate code that can then be exported to an integrated development environment (IDE) or executed directly in the browser with Google Colab. Similarly, users can request Bard to debug already existing code, explain code snippets, or optimise code to improve performance.

Google continues to refer to Bard as an experiment and highlights that as is the case with generated text, code produced by the AI may not function as expected. Regardless, the new functionality will be useful for both beginner and experienced developers. Those learning to code can use Generative AI to debug and explain their mistakes or write simple programs. More experienced developers can use the tool to perform lower-value work, such as commenting on code, or scaffolding to identify potential problems.

GitHub Copilot X to Face Competition

While the ability for Bard, Bing, and ChatGPT to generate code is one of their most important use cases, developers are now demanding AI directly in their IDEs.

In March, Microsoft made one of its most significant announcements of the year when it demonstrated GitHub Copilot X, which embeds GPT-4 in the development environment. Earlier this year, Microsoft invested $10 billion into OpenAI to add to the $1 billion from 2019, cementing the partnership between the two AI heavyweights. Among other benefits, this agreement makes Azure the exclusive cloud provider to OpenAI and provides Microsoft with the opportunity to enhance its software with AI co-pilots.

Currently, under technical preview, when Copilot X eventually launches, it will integrate into Visual Studio — Microsoft’s IDE. Presented as a sidebar or chat directly in the IDE, Copilot X will be able to generate, explain, and comment on code, debug, write unit tests, and identify vulnerabilities. The “Hey, GitHub” functionality will allow users to chat using voice, suitable for mobile users or more natural interaction on a desktop.

Not to be outdone by its cloud rivals, in April, AWS announced the general availability of what it describes as a real-time AI coding companion. Amazon CodeWhisperer, integrates with a range of IDEs, namely Visual Studio Code, IntelliJ IDEA, CLion, GoLand, WebStorm, Rider, PhpStorm, PyCharm, RubyMine, and DataGrip, or natively in AWS Cloud9 and AWS Lambda console. While the preview worked for Python, Java, JavaScript, TypeScript, and C#, the general release extends support for most languages. Amazon’s key differentiation is that it is available for free to individual users, while GitHub Copilot is currently subscription-based with exceptions only for teachers, students, and maintainers of open-source projects.

The Next Step: Generative AI in Security

The next battleground for Generative AI will be assisting overworked security analysts. Currently, some of the greatest challenges that Security Operations Centres (SOCs) face are being understaffed and overwhelmed with the number of alerts. Security vendors, such as IBM and Securonix, have already deployed automation to reduce alert noise and help analysts prioritise tasks to avoid responding to false threats.

Google recently introduced Sec-PaLM and Microsoft announced Security Copilot, bringing the power of Generative AI to the SOC. These tools will help analysts interact conversationally with their threat management systems and will explain alerts in natural language. How effective these tools will be is yet to be seen, considering hallucinations in security is far riskier than writing an essay with ChatGPT.

The Future of AI Code Generators

Although GitHub Copilot and Amazon CodeWhisperer had already launched with limited feature sets, it was the release of ChatGPT last year that ushered in a new era in AI code generation. There is now a race between the cloud hyperscalers to win over developers and to provide AI that supports other functions, such as security.

Despite fears that AI will replace humans, in their current state it is more likely that they will be used as tools to augment developers. Although AI and automated testing reduce the burden on the already stretched workforce, humans will continue to be in demand to ensure code is secure and satisfies requirements. A likely scenario is that with coding becoming simpler, rather than the number of developers shrinking, the volume and quality of code written will increase. AI will generate a new wave of citizen developers able to work on projects that would previously have been impossible to start.  This may, in turn, increase demand for developers to build on these proofs-of-concept.

How the Generative AI landscape evolves over the next year will be interesting. In a recent interview, OpenAI’s founder, Sam Altman, explained that the non-profit model it initially pursued is not feasible, necessitating the launch of a capped-for-profit subsidiary. The company retains its values, however, focusing on advancing AI responsibly and transparently with public consultation. The appearance of Microsoft, Google, and AWS will undoubtedly change the market dynamics and may force OpenAI to at least reconsider its approach once again.

The Future of Industries
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