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Ecosystm Insights - Page 23 of 82 - A new age Technology Research platform to help you access latest market insights,expert opinions and research data
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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The Future of Industries

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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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Ecosystm VendorSphere: Oracle CloudWorld Tour Singapore

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In November 2021 Ecosystm had said: “With their global expansion plans and targeted offerings to help enterprises achieve their transformation goals, Oracle is positioned well to claim a larger share of the cloud market. Their strength lies in the enterprise market, and their cloud  offerings should see them firmly entrenched in that segment.”

At the recently held Oracle CloudWorld Tour in Singapore, Oracle showcased their momentum in the enterprise segment first-hand. There are a number of reasons for this, and the customer and partner testimonials made it clear that Oracle’s vision is firmly aligned to what their customers require in the Asia Pacific region.  

Read on to find out what Ecosystm Advisors Darian Bird, Sash Mukherjee, Tim Sheedy and Ullrich Loeffler say about the announcements and messaging during the session.

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More Insights to tech Buyer Guidance
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A 12-Step Plan for Governance of Customer Data​

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In my last Ecosystm Insight, I spoke about the 5 strategies that leading CX leaders follow to stay ahead of the curve. Data is at the core of these CX strategies. But a customer data breach can have an enormous financial and reputational impact on a brand. ​

Here are 12 essential steps to effective governance that will help you unlock the power of customer data. 

  1. Understand data protection​ laws and regulations 
  2. Create a data governance framework
  3. ​Establish data privacy and security policies
  4. Implement data​ minimisation
  5. Ensure data accuracy
  6. Obtain explicit consent
  7. Mask, anonymise and pseudonymise data
  8. Implement strong access controls
  9. Train employees
  10. Conduct risk assessments and audits
  11. Develop a data breach ​response plan
  12. Monitor and ​review

Read on to find out more.

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The Experience Economy
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5 Strategies for CX Leaders

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In good times and in bad, a great customer experience (CX) differentiates your company from your competitors and creates happy customers who turn into brand advocates. While some organisations in Asia Pacific are just starting out on their CX journey, many have made deep investments. But in the fast-paced world of digital, physical and omnichannel experience improvement, if you stand still, you fall behind.

We interviewed CX leaders across the region, and here are the top 5 top actions that they are taking to stay ahead of the curve.

#1 Better Governance of Customer Data

Most businesses accelerate their CX journeys by collecting and analysing data. They copy data from one channel to another, share data across touchpoints, create data silos to better understand data, and attempt to create a single view of the customer. Without effective governance, every time create copies of customer data are created, moved, and shared with partners, it increases the attack surface of the business. And there is nothing worse than telling customers that their data was accessed, stolen or compromised – and that they need to get a new credit card, driver’s license or passport.

To govern customer data effectively, it is essential to collaborate with different stakeholders, such as legal, risk, IT, and CX leaders – data owners, consumers, and managers, analytics leaders, data owners, and data managers – in the strategy discussions.

#2 Creating Human Experiences

To create a human-centric experience, it is important to understand what humans want. However, given that each brand has different values, the expectations of customers may not always be consistent.

Much of the investment in CX by Asian companies over the past five years have been focused on making transactions easy and effective – but ultimately it is the emotional attachment which brings customers back repeatedly.  In creating human experiences, brands create a brand voice that is authentic, relatable, empathetic and is consistent across all channels.

Humanising the experience and brand requires:

  • Hyperpersonalisation of customer interactions. By efforts such as using names, understanding location requirements, remembering past purchases, and providing tailored recommendations based on their expectations, businesses can make customers feel valued and understood. Understanding the weather, knowing whether the customer’s favourite team won or lost on the weekend, mentioning an important birthday, etc. can all drive real, human experiences – with or without an actual human involved in the process!
  • Transparency. Honesty and transparency can go a long way in building trust with customers. Businesses should be open about their processes, pricing, and policies. Organisations should be transparent about mistakes and what they are doing to fix the problem.

#3 Building Co-creation Opportunities

Co-creation is a collaborative approach where organisations involve their customers in the development and improvement of products, services, and experiences. This process can foster innovation, enhance customer satisfaction, and contribute to long-term business success. Co-creation can increase customer satisfaction and loyalty, drive innovation, enhance brand reputation, boost market relevance, and reduce risks and costs.

Strategies for co-creation include:

  • Creating open innovation platforms where customers can submit ideas, feedback, and suggestions
  • Organising workshops or focus groups that bring together customers, designers, and developers to brainstorm and generate new ideas
  • Running contests or crowdsourcing initiatives to engage customers in problem-solving and idea generation
  • Establishing feedback loops and engaging customers in the iterative development process
  • Partnering with customers or external stakeholders, such as suppliers or distributors, to co-create new products or services

#4 Collecting Data – But Telling Stories

Organisations use storytelling as a powerful CX tool to connect with their customers, convey their brand values, and build trust.

Here are some ways organisations share stories with their customers:

  • Brand storytelling. Creating narratives around their brand that showcase their mission, vision, and values
  • Customer testimonials and case studies. Sharing real-life experiences of satisfied customers to showcase the value of a product or service
  • Content marketing. Creating engaging content in the form of blog posts, articles, videos, podcasts, and more to educate, entertain, and inform their customers
  • Social media. Posting photos, videos, or updates that showcase the brand’s personality, to strengthen relationships with the audience
  • Packaging and in-store experiences. Creative packaging and well-designed in-store experiences to tell a brand story and create memorable customer interactions
  • Corporate social responsibility (CSR) initiatives. Helping customers understand the values the organisation stands for and build trust

#5 Finally – Not Telling Just Positive Stories!

Many companies focus on telling the good stories: “Here’s what happens when you use our products”; “Our customers are super-successful” and; “Don’t just take it from us, listen to what our customers say.”

But memorable stories are created with contrast – like telling the story of what happened when someone didn’t use the product or service. Successful brands don’t want to just leave the audience with a vision of what could be possible, but also what will be likely if they don’t invest. Advertisers have understood this for years, but customers don’t just hear stories through advertisements – they hear it through social media, word of mouth, traditional media, and from sales and account executives.

The Experience Economy
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