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.
Healthcare has transformed rapidly in the last few years – processes have become more agile; clinicians, administrative staff, and patients have changed their views on how healthcare can and should be delivered; and there is a greater reliance on technology today.
Despite challenges such as healthcare inequality and limited access to care for underserved populations, the future of Healthcare looks promising.
We will see continued advancements in technology, increased collaboration between healthcare providers and patients, and a clear shift in focus on preventative care.
Read on to find out how South Australia Health, Tan Tock Seng Hospital in Singapore, Montana State University and Billings Clinic, Microsoft, Epic, Zuellig Pharma, and iHIS Singapore are innovating to improve patient and employee experiences and clinical outcomes.
Download “The Future of Healthcare” as a PDF
Today, Asia is home to nearly 60% of the world’s population and accounts for 39% of the global GDP. As the region’s importance continues to grow (7 out of the top 10 economies is expected to be from the region, contributing to 47% of the global GDP by 2030), investment in Asia is a key priority for governments and large corporates around the world.
With the region taking centre-stage, there is a growing optimism as opportunities open up for local economies. It remains a unique market – differentiated by a strong spirit of innovation, vibrant startup ecosystem, and propensity to leverage technology to transform.
At the Leaders Dialogue: Asian Sentiment 2023 conversation, Ecosystm Founder and Chairman, Amit Gupta; Ahmed Mazhari, President of Microsoft Asia; Padmashree (Paddy) Santosh, VP & Global Head of Learning, Diversity and Organisation Effectiveness at Olam Agri; and Luca Destefanis, Head of Marketing APAC at Kyndryl discussed where Asia is leading and lagging behind when it comes to tech-led transformation and innovation.
Here are the key highlights:
- Asia demonstrates a “Disrupt or be Disrupted Mindset”
- The need for innovation is encouraging corporate venturing
- There is a growing interest in emerging tech
- Yet organisations might be scratching the surface
- Outcome-led transformation will be the key
Read on for more insights into Asian sentiment.
Download State of Digital Transformation in Asia as a PDF
Last week, Kyndryl became a Premier Global Alliance Partner for AWS. This follows other recent similar partnerships for Kyndryl with Google and Microsoft. This now gives Kyndryl premier or similar partner status at the big three hyperscalers.
The Partnership
This new partnership was essential for Kyndryl to provide legitimacy to their independent reputation and their global presence. And in many respects, it is a partnership that AWS needs as much as Kyndryl does. As one of the largest global managed services providers, Kyndryl manages a huge amount of infrastructure and thousands of applications. Today, most of these applications sit outside public cloud environments, but at some stage in the future, many of these applications will move to the public cloud. AWS has positioned itself to benefit from this transition – as Kyndryl will be advising clients on which cloud environment best suits their needs, and in many cases Kyndryl will also be running the application migration and managing the application when it resides in the cloud. To that end, the further investment in developing an accelerator for VMware Cloud on AWS will also help to differentiate Kyndryl on AWS. With a high proportion of Kyndryl customers running VMware, this capability will help VMware users to migrate these workloads to the cloud and run core businesses services on AWS.
The Future
Beyond the typical partnership activities, Kyndryl will build out its own internal infrastructure in the cloud, leveraging AWS as its preferred cloud provider. This experience will mean that Kyndryl “drinks its own champagne” – many other managed services providers have not yet taken the majority of their infrastructure to the cloud, so this experience will help to set Kyndryl apart from their competitors, along with providing deep learning and best practices.
By the end of 2022, Kyndryl expects to have trained more than 10,000 professionals on AWS. Assuming the company hits these targets, they will be one of AWS’s largest partners. However, experience trumps training, and their relatively recent entry into the broader cloud ecosystem space (after coming out from under IBM’s wing at the end of 2021) means they have some way to go to have the depth and breadth of experience that other Premier Alliance Partners have today.
Ecosystm Opinion
In my recent interactions with Kyndryl, what sets them apart is the fact that they are completely customer-focused. They start with a client problem and find the best solution for that problem. Yes – some of the “best solutions” will be partner specific (such as SAP on Azure, VMware on AWS), but they aren’t pushing every customer down a specific path. They are not just an AWS partner – where every solution to every problem starts and ends with AWS. The importance of this new partnership is it expands the capabilities of Kyndryl and hence expands the possibilities and opportunities for Kyndryl clients to benefit from the best solutions in the market – regardless of whether they are on-premises or in one of the big three hyperscalers.
