Building a Cyber Resilient Financial Organisation

5/5 (4)

5/5 (4)

The Banking, Financial Services, and Insurance (BFSI) industry, known for its cautious stance on technology, is swiftly undergoing a transformational modernisation journey. Areas such as digital customer experiences, automated fraud detection, and real-time risk assessment are all part of a technology-led roadmap. This shift is transforming the cybersecurity stance of BFSI organisations, which have conventionally favoured centralising everything within a data centre behind a firewall. 

Ecosystm research finds that 75% of BFSI technology leaders believe that a data breach is inevitable. This requires taking a new cyber approach to detect threats early, reduce the impact of an attack, and avoid lateral movement across the network.  

BFSI organisations will boost investments in two main areas over the next year: updating infrastructure and software, and exploring innovative domains like digital workplaces and automation. Cybersecurity investments are crucial in both of these areas.

As a regulated industry, breaches come with significant cost implications, underscoring the need to prioritise cybersecurity. BFSI cybersecurity and risk teams need to constantly reassess their strategies for safeguarding data and fulfilling compliance obligations, as they explore ways to facilitate new services for customers, partners, and employees.  

The primary concerns of BFSI CISOs can be categorised into two distinct groups:

  1. Expanding Technology Use. This includes the proliferation of applications and devices, as well as data access beyond the network perimeter.
  2. Employee-Related Vulnerabilities. This involves responses to phishing and malware attempts, as well as intentional and unintentional misuse of technology.

Vulnerabilities Arising from Employee Actions

Security vulnerabilities arising from employee actions and unawareness represent a significant and ongoing concern for businesses of all sizes and industries – the risks are just much bigger for BFSI. These vulnerabilities can lead to data breaches, financial losses, damage to reputation, and legal ramifications. A multi-pronged approach is needed that combines technology, training, policies, and a culture of security consciousness. 

Training and Culture. BFSI organisations prioritise comprehensive training and awareness programs, educating employees about common threats like phishing and best practices for safeguarding sensitive data. While these programs are often ongoing and adaptable to new threats, they can sometimes become mere compliance checklists, raising questions about their true effectiveness. Conducting simulated phishing attacks and security quizzes to assess employee awareness and identify areas where further training is required, can be effective.  

To truly educate employees on risks, it’s essential to move beyond compliance and build a cybersecurity culture throughout the organisation. This can involve setting organisation-wide security KPIs that cascade from the CEO down to every employee, promoting accountability and transparency. Creating an environment where employees feel comfortable reporting security concerns is critical for early threat detection and mitigation. 

Policies. Clear security policies and enforcement are essential for ensuring that employees understand their roles within the broader security framework, including responsibilities on strong password use, secure data handling, and prompt incident reporting. Implementing the principle of least privilege, which restricts access based on specific roles, mitigates potential harm from insider threats and inadvertent data exposure. Policies should evolve through routine security audits, including technical assessments and evaluations of employee protocol adherence, which will help organisations with a swifter identification of vulnerabilities and to take the necessary corrective actions.  

However, despite the best efforts, breaches do happen – and this is where a well-defined incident response plan, that is regularly tested and updated, is crucial to minimise the damage. This requires every employee to know their roles and responsibilities during a security incident. 

Tech Expansion Leading to Cyber Complexity

Cloud. Initially hesitant to transition essential workloads to the cloud, the BFSI industry has experienced a shift in perspective due to the rise of inventive SaaS-based Fintech tools and hybrid cloud solutions, that have created new impetus for change. This new distributed architecture requires a fresh look at cyber measures. Secure Access Service Edge (SASE) providers are integrating a range of cloud-delivered safeguards, such as FWaaS, CASB, and ZTNA with SD-WAN to ensure organisations can securely access the cloud without compromising on performance.   

Data & AI. Data holds paramount importance in the BFSI industry for informed decision-making, personalised customer experiences, risk assessment, fraud prevention, and regulatory compliance. AI applications are being used to tailor products and services, optimise operational efficiency, and stay competitive in an evolving market. As part of their technology modernisation efforts, 47% of BFSI institutions are refining their data and AI strategies. They also acknowledge the challenges associated – and satisfying risk, regulatory, and compliance requirements is one of the biggest challenges facing BFSI organisations in the AI deployments.  

The rush to experiment with Generative AI and foundation models to assist customers and employees is only heightening these concerns. There is an urgent need for policies around the use of these emerging technologies. Initiatives such as the Monetary Authority of Singapore’s Veritas that aim to enable financial institutions to evaluate their AI and data analytics solutions against the principles of fairness, ethics, accountability, and transparency (FEAT) are expected to provide the much-needed guidance to the industry.  

Digital Workplace. As with other industries with a high percentage of knowledge workers, BFSI organisations are grappling with granting remote access to staff. Cloud-based collaboration and Fintech tools, BYOD policies, and sensitive data traversing home networks are all creating new challenges for cyber teams. Modern approaches, such as zero trust network access, privilege management, and network segmentation are necessary to ensure workers can seamlessly but securely perform their roles remotely.  

Looking Beyond Technology: Evaluating the Adequacy of Compliance-Centric Cyber Strategies

The BFSI industry stands among the most rigorously regulated industries, with scrutiny intensifying following every collapse or notable breach. Cyber and data protection teams shoulder the responsibility of understanding the implications of and adhering to emerging data protection regulations in areas such as GDPR, PCI-DSS, SOC 2, and PSD2. Automating compliance procedures emerges as a compelling solution to streamline processes, mitigate risks, and curtail expenses. Technologies such as robotic process automation (RPA), low-code development, and continuous compliance monitoring are gaining prominence.  

The adoption of AI to enhance security is still emerging but will accelerate rapidly. Ecosystm research shows that within the next two years, nearly 70% of BFSI organisations will have invested in SecOps. AI can help Security Operations Centres (SOCs) prioritise alerts and respond to threats faster than could be performed manually. Additionally, the expanding variety of network endpoints, including customer devices, ATMs, and tools used by frontline employees, can embrace AI-enhanced protection without introducing additional onboarding friction. 

However, there is a need for BFSI organisations to look beyond compliance checklists to a more holistic cyber approach that can prioritise cyber measures continually based on the risk to the organisations. And this is one of the biggest challenges that BFSI CISOs face. Ecosystm research finds that 72% of cyber and technology leaders in the industry feel that there is limited understanding of cyber risk and governance in their organisations.  

In fact, BFSI organisations must look at the interconnectedness of an intelligence-led and risk-based strategy. Thorough risk assessments let organisations prioritise vulnerability mitigation effectively. This targeted approach optimises security initiatives by focusing on high-risk areas, reducing security debt. To adapt to evolving threats, intelligence should inform risk assessment. Intelligence-led strategies empower cybersecurity leaders with real-time threat insights for proactive measures, actively tackling emerging threats and vulnerabilities – and definitely moving beyond compliance-focused strategies. 

The Resilient Enterprise
0
0
Redefining-Network-Resilience-with-AI
Redefining Network Resilience with AI

5/5 (2)

5/5 (2)

Traditional network architectures are inherently fragile, often relying on a single transport type to connect branches, production facilities, and data centres. The imperative for networks to maintain resilience has grown significantly, particularly due to the delivery of customer-facing services at branches and the increasing reliance on interconnected machines in operational environments. The cost of network downtime can now be quantified in terms of both lost customers and reduced production.  

Distributed Enterprises Face New Challenges 

As the importance of maintaining resiliency grows, so does the complexity of network management.  Distributed enterprises must provide connectivity under challenging conditions, such as:  

  • Remote access for employees using video conferencing 
  • Local breakout for cloud services to avoid backhauling 
  • IoT devices left unattended in public places 
  • Customers accessing digital services at the branch or home 
  • Sites in remote areas requiring the same quality of service 

Network managers require intelligent tools to remain in control without adding any unnecessary burden to end users. The number of endpoints and speed of change has made it impossible for human operators to manage without assistance from AI.  

Biggest Challenges of Running a Distributed Organisation

AI-Enhanced Network Management 

Modern network operations centres are enhancing their visibility by aggregating data from diverse systems and consolidating them within a unified management platform. Machine learning (ML) and AI are employed to analyse data originating from enterprise networks, telecom Points of Presence (PoPs), IoT devices, cloud service providers, and user experience monitoring. These technologies enable the early identification of network issues before they reach critical levels. Intelligent networks can suggest strategies to enhance network resilience, forecast how modifications may impact performance, and are increasingly capable of autonomous responses to evolving conditions.  

Here are some critical ways that AI/ML can help build resilient networks.  

  • Alert Noise Reduction. Network operations centres face thousands of alerts each day. As a result, operators battle with alert fatigue and are challenged to identify critical issues. Through the application of ML, contemporary monitoring tools can mitigate false positives, categorise interconnected alerts, and assist operators in prioritising the most pressing concerns. An operations team, augmented with AI capabilities could potentially de-prioritise up to 90% of alerts, allowing a concentrated focus on factors that impact network performance and resilience.  
  • Data Lakes. Networking vendors are building their own proprietary data lakes built upon telemetry data generated by the infrastructure they have deployed at customer sites. This vast volume of data allows them to use ML to create a tailored baseline for each customer and to recommend actions to optimise the environment.   
  • Root Cause Analysis. To assist network operators in diagnosing an issue, AIOps can sift through thousands of data points and correlate them to identify a root cause. Through the integration of alerts with change feeds, operators can understand the underlying causes of network problems or outages. By using ML to understand the customer’s unique environment, AIOps can progressively accelerate time to resolution.  
  • Proactive Response. As management layers become capable of recommending corrective action, proactive response also becomes possible, leading to self-healing networks. With early identification of sub-optimal conditions, intelligent systems can conduct load balancing, redirect traffic to higher performing SaaS regions, auto-scale cloud instances, or terminate selected connections.  
  • Device Profiling. In a BYOD environment, network managers require enhanced visibility to discover devices and enforce appropriate policies on them. Automated profiling against a validated database ensures guest access can be granted without adding friction to the onboarding process. With deep packet inspection, devices can be precisely classified based on behaviour patterns.  
  • Dynamic Bandwidth Aggregation. A key feature of an SD-WAN is that it can incorporate diverse transport types, such as fibre, 5G, and low earth orbit (LEO) satellite connectivity. Rather than using a simple primary and redundant architecture, bandwidth aggregation allows all circuits to be used simultaneously. By infusing intelligence into the SD-WAN layer, the process of path selection can dynamically prioritise traffic by directing it over higher quality or across multiple links. This approach guarantees optimal performance, even in the face of network degradation. 
  • Generative AI for Process Efficiency. Every tech company is trying to understand how they can leverage the power of Generative AI, and networking providers are no different. The most immediate use case will be to improve satisfaction and scalability for level 1 and level 2 support. A Generative AI-enabled service desk could provide uninterrupted support during high-volume periods, such as during network outages, or during off-peak hours.  

Initiating an AI-Driven Network Management Journey 

Network managers who take advantage of AI can build highly resilient networks that maximise uptime, deliver consistently high performance, and remain secure. Some important considerations when getting started include:  

  • Data Catalogue. Take stock of the data sources that are available to you, whether they come from network equipment telemetry, applications, or the data lake of a managed services provider. Understand how they can be integrated into an AIOps solution.  
  • Start Small. Begin with a pilot in an area where good data sources are available. This will help you assess the impact that AI could have on reducing alerts, improving mean time to repair (MTTR), increasing uptime, or addressing the skills gap.  
  • Develop an SD-WAN/SASE Roadmap. Many advanced AI benefits are built into an SD-WAN or SASE. Most organisations already have or will soon adopt SD-WAN but begin assessing the SASE framework to decide if it is suitable for your organisation.  
The Resilient Enterprise
0
0
Breaches-are-Inevitable-Build-Resiliency-through-Recovery-&-Backup
Breaches are Inevitable – Build Resiliency through Recovery & Backup

5/5 (3)

5/5 (3)

A lot gets written about cybersecurity – and organisations spend a lot on it! Ecosystm research finds that 63% of organisations across Asia Pacific are planning to increase their cyber budget for the next year. As budgets continue to rise, the threat landscape continues to get more complex and difficult to navigate. Despite increasing spend, 69% of organisations believe a breach is inevitable. And breaches can be EXPENSIVE! Medibank, in Australia, was breached in (or around) October, 2022. The cost of the breach is expected to reach around USD 52 million when everything is done and dusted – and this does not include the impacts of any potential findings or outcomes from regulatory investigations or litigation.

Recovering Strong

While cybersecurity is still crucially important, the ability to recover from breaches quickly and cost-effectively is also imperative. How you recover from a breach will ultimately determine your organisation’s long-term viability and success. The capabilities needed to recover quickly include:

  • A well-documented and practices incident response plan. The plan should outline the roles and responsibilities of all team members, communication protocols, and steps to be taken in the event of a breach.
  • Backup and Disaster Recovery (DR) solutions. Regular backups of critical data and systems are essential to quickly recover from a breach. Backup solutions should include offsite or cloud-based options that are isolated from the main network. DR solutions ensure that critical systems can be quickly restored and made operational after a breach.
  • Cybersecurity awareness training. Investing in regular training for all employees is crucial to ensure they are aware of the latest threats and know how to respond in the event of a breach.
  • Automated response tools. Automation can help speed up the response time during a breach by automatically blocking malicious IPs, quarantining infected devices, or taking other predefined actions based on the nature of the attack.
  • Threat intelligence. This can help organisations stay ahead of the latest threats and vulnerabilities and frame quicker responses if a breach occurs.

Backup and Disaster Recovery is Evolving

Most organisations already have backup and disaster recovery capabilities in place – but too often they are older systems, designed more as a “just in case” versus a “will keep us in business” capability. Backup and DR systems are evolving and improving – and with the increased likelihood of a breach, it is a good time to consider what a modern Backup and DR system can provide to your organisation. Here are some of the key trends and considerations that technology leaders should be aware of:

  • Cloud-based solutions. More organisations are moving towards cloud-based backup and DR solutions. Cloud solutions offer several advantages, including scalability, cost-effectiveness, and the ability to access data and systems from anywhere. However, technology leaders need to consider data security, compliance requirements, and the reliability of the cloud service provider.
  • Hybrid options. As hybrid cloud becomes the norm for most organisations, hybrid solutions backup and DR that combine on-premises and cloud-based backups are becoming more popular. This approach provides the best of both worlds – the security and control of on-premises backups with the scalability and flexibility of the cloud.
  • Increased use of automation. Automation is becoming more prevalent in backup and DR solutions. Automation helps reduce the time it takes to backup data, restore systems, and test DR plans. It also minimises the risk of human error. Technology leaders should look for solutions that offer automation capabilities while also allowing for manual intervention when necessary.
  • Cybersecurity integration. With the rise of cyberattacks, especially ransomware, it is crucial that backup and DR solutions are integrated with an organisation’s cybersecurity strategy. Backup data should be encrypted and isolated from the main network to prevent attackers from accessing or corrupting it. Regular testing of backup and DR plans should also include scenarios where a cyberattack, such as ransomware, is involved.
  • More frequent backups. Data is becoming more critical to business operations, so there is a trend towards more frequent backups, even continuous backups, to minimise data loss in the event of a disaster. Technology leaders need to balance the need for frequent backups with the cost and complexity involved.
  • Super-fast data recovery. Some data recovery platforms can recover data FAST – in as little as 6 seconds. The ability to recover data faster than the bad actors can delete it makes organisations less vulnerable and buys more time to plug the gaps that the attackers are exploiting to gain access to data and systems.
  • Monitoring and analytics. Modern backup and DR solutions offer advanced monitoring and analytics capabilities. This allows organisations to track the performance of their backups, identify potential issues before they become critical, and optimise their backup and DR processes. Technology leaders should look for solutions that offer comprehensive monitoring and analytics capabilities.
  • Compliance considerations. With the increasing focus on data privacy and protection, organisations need to ensure that backup and DR solutions are compliant with relevant regulations, often dictated at the industry level in each geography. Technology leaders should work with their legal and compliance teams to ensure that their backup and DR solutions meet all necessary requirements.

The sooner you evolve and modernise your backup and disaster recovery capabilities, the more breathing room your cybersecurity team has, to improve the ability to repel threats. New security architectures and postures – such as Zero Trust and SASE are emerging as better ways to build your cybersecurity capabilities – but they won’t happen overnight and require significant investment, training, and business change to implement. 

The Resilient Enterprise
0
0
ebook-SASE Empowering the Distributed Enterprise-Tata-Ecosystm
eBook – SASE Empowering the Distributed Enterprise

No ratings yet.

No ratings yet.

How can you build your network and form security strategies to become highly distributed,cloud native, and converged in the Hyperconnected era.

This eBook covers the challenges identified by modern, hyperconnected enterprises and how SASE could play a crucial role in addressing challenges for the cloud native, globally distributed enterprises.

Download our eBook titled “SASE Empowering the Distributed Enterprise”

Get your Free Copy

(Clicking on this link will take you to the TATA Communications website where you can download the eBook)

Download the Whitepapers
0
0
Eyes-on-COP28-Shaping-the-Direction-of-Global-Climate-Policy
Eyes on COP28: Shaping the Direction of Global Climate Policy

5/5 (2)

5/5 (2)

Climate summits have attempted to reach a consensus and firm international agreements on emission reduction strategies. However, countries continue to lag behind in the climate promises – many do not back their ambitious targets with real, measurable steps. 

With the UN Climate Change Conference (COP28) on the horizon, the world’s attention is fixed on how the conference can operationalise climate outcomes. 

Read on to find out about the pivotal discussions and potential breakthroughs that COP28 holds in the global fight against environmental change.

Eyes-on-COP28-Shaping-Global-Climate-Policy-1
Eyes-on-COP28-Shaping-Global-Climate-Policy-2
Eyes-on-COP28-Shaping-Global-Climate-Policy-3
Eyes-on-COP28-Shaping-Global-Climate-Policy-4
Eyes-on-COP28-Shaping-Global-Climate-Policy-5
Eyes-on-COP28-Shaping-Global-Climate-Policy-6
Eyes-on-COP28-Shaping-Global-Climate-Policy-7
Eyes-on-COP28-Shaping-Global-Climate-Policy-8
Eyes-on-COP28-Shaping-Global-Climate-Policy-9
previous arrowprevious arrow
next arrownext arrow
Eyes-on-COP28-Shaping-Global-Climate-Policy-1
Eyes-on-COP28-Shaping-Global-Climate-Policy-2
Eyes-on-COP28-Shaping-Global-Climate-Policy-3
Eyes-on-COP28-Shaping-Global-Climate-Policy-4
Eyes-on-COP28-Shaping-Global-Climate-Policy-5
Eyes-on-COP28-Shaping-Global-Climate-Policy-6
Eyes-on-COP28-Shaping-Global-Climate-Policy-7
Eyes-on-COP28-Shaping-Global-Climate-Policy-8
Eyes-on-COP28-Shaping-Global-Climate-Policy-9
previous arrow
next arrow
Shadow

Download ‘Eyes on COP28: Shaping the Direction of Global Climate Policy’ as a PDF.

Access More Insights Here

0
0
Embedding-Sustainability-in-Corporate-Strategy-and-Operations
Embedding Sustainability in Corporate Strategy and Operations​

5/5 (2)

5/5 (2)

In our previous Ecosystm Insights, Ecosystm Principal Advisor, Gerald Mackenzie, highlighted the key drivers for boosting ESG maturity and the need to transition from standalone ESG projects to integrating ESG goals into organisational strategy and operations. ​

This shift can be difficult, requiring an alignment of ESG objectives with broader strategic aims and using organisational capabilities effectively. The solution involves prioritising essential goals, knitting them into overall business strategy, quantifying success metrics, and establishing incentives and governance for effective execution.​

The benefits are proven and significant. Stronger Customer and Employee Value Propositions, better bottom line, improved risk profile, and more attractive enterprise valuations for investors and lenders.​

According to Gerald, here are 5 things to keep in mind when starting on an ESG journey. 

Embedding-Sustainability-in-Corporate-Strategy-Operations-1
Embedding-Sustainability-in-Corporate-Strategy-Operations-2
Embedding-Sustainability-in-Corporate-Strategy-Operations-3
Embedding-Sustainability-in-Corporate-Strategy-Operations-4
Embedding-Sustainability-in-Corporate-Strategy-Operations-5
Embedding-Sustainability-in-Corporate-Strategy-Operations-6
Embedding-Sustainability-in-Corporate-Strategy-Operations-7
Embedding-Sustainability-in-Corporate-Strategy-Operations-8
Embedding-Sustainability-in-Corporate-Strategy-Operations-9
previous arrowprevious arrow
next arrownext arrow
Embedding-Sustainability-in-Corporate-Strategy-Operations-1
Embedding-Sustainability-in-Corporate-Strategy-Operations-2
Embedding-Sustainability-in-Corporate-Strategy-Operations-3
Embedding-Sustainability-in-Corporate-Strategy-Operations-4
Embedding-Sustainability-in-Corporate-Strategy-Operations-5
Embedding-Sustainability-in-Corporate-Strategy-Operations-6
Embedding-Sustainability-in-Corporate-Strategy-Operations-7
Embedding-Sustainability-in-Corporate-Strategy-Operations-8
Embedding-Sustainability-in-Corporate-Strategy-Operations-9
previous arrow
next arrow
Shadow

Download ‘Embedding Sustainability in Corporate Strategy and Operations​’ as a PDF

Access More Insights Here

0
0
Putting-Customers-at-the-Heart-of-Sustainability-A-New-Path-for-ESG-Strategy
Putting Customers at the Heart of Sustainability: A New Path for ESG Strategy

5/5 (3)

5/5 (3)

In an era marked by heightened global awareness of environmental, social, and governance (ESG) issues, organisations find themselves at a crossroad where profitability converges with responsibility. The imperative to take resolute action on ESG fronts is underscored by a compelling array of statistics and evidence that highlight the profound impact of these considerations on long-term success.  

A 2020 McKinsey report revealed that executives and investors value companies with robust ESG performance around 10% higher in valuations than laggards. Equally pivotal, workplace diversity is now recognised as a strategic advantage; a study in the Harvard Business Review finds that companies with above-average total diversity had both 19% higher innovation revenues and 9% higher EBIT margins, on average. Against this backdrop, organisations must recognise that embracing ESG principles is not merely an ethical gesture but a strategic imperative that safeguards resilience, reputation, and enduring financial prosperity. 

The data from the ongoing Ecosystm State of ESG Adoption study was used to evaluate the status and maturity of organisations’ ESG strategy and implementation progress. A diverse representation across industries such as Financial Services, Manufacturing, and Retail & eCommerce, as well as from roles across the organisation has helped us with insights and an understanding of where organisations stand in terms of the maturity of their ESG strategy and implementation efforts.  

A Tailored Approach to Improve ESG Maturity 

Ecosystm assists clients in driving greater impact through their ESG adoption. Our tools evaluate an organisation’s aspirations and roadmaps using a maturity model, along with a series of practical drivers that enhance ESG response maturity. The maturity of an organisation’s approach on ESG tends to progress from a reactive, or risk/compliance-based focus, to a customer, or opportunity driven approach, to a purpose led approach that is focused on embedding ESG into the core culture of the organisation. Our advisory, research and consulting offerings are customised to the transitions organisations are seeking to make in their maturity levels over time.   

ESG Maturity Defined

Within the maturity framework outlined above, Ecosystm has identified the key organisational drivers to improve maturity and adoption. The Ecosystm ESG Consulting offerings are configured to both support the development of ESG strategy and the delivery and ‘story telling’ around ESG programs based on the goals of the customer (maturity aspiration) and the gaps they need to close to deliver the aspiration.   

What ESG Maturity Looks Like

Key Findings of the Ecosystm State of ESG Study 

89% of respondents self-reported that their organisation had an ESG strategy; however, a notable 60% also identified that a lack of alignment of sustainability goals to enterprise strategy was a key issue in implementation. This reflects many of the client discussions we’ve had, where customers share that ESG goals that have not been fully tested against other organisational priorities can create tensions and make it difficult to solve trade-offs across the organisation during implementation.  

This image has an empty alt attribute; its file name is Sustainability-Leader-Quote-1.jpg

People & Leadership/Execution & Governance 

Capabilities are still emerging. 40% of respondents mentioned that a lack of a governance framework for ESG was a barrier to adoption, and 56% mentioned that immature metrics and reporting maturity slowed adoption. 64% of respondents also mentioned that a lack of specialised resources as a key barrier to ESG adoption.

In our discussions with customers, we understand that there is good support for ESG across organisations, but there needs to be a simple narrative compelling them to action on a few clearly articulated priorities, a clear mandate from senior leadership and credible resourcing and governance to ensure follow through. 

This image has an empty alt attribute; its file name is Sustainability-Leader-Quote.jpg

Data and Technology Enablement 

There is a strong opportunity for improvement. “We can’t manage what we cannot measure” has been the common refrain from the clients we have spoken to and the survey reflected this. Only 47% of respondents say that preparing data, analytics, reporting, and metrics for internal consumption is a priority for their tech teams.   

This image has an empty alt attribute; its file name is ESG-Lead-Quote.jpg

ESG is rapidly emerging as a key priority for customers, investors, talent, and other stakeholders who seek a comprehensive and genuine commitment from the organisations they interact with. Successfully determining the right priorities and effectively mobilising your organisation and external collaborators for implementation are pivotal. It’s crucial to acknowledge the intricacy and extent of effort needed for this endeavour. 

With our timely research findings complementing our ESG maturity and implementation frameworks, analyst insights and consulting support, Ecosystm is well-positioned to help you to navigate your journey to ESG maturity. 

Ecosystm Consulting
0
0
Top 5 Cloud Trends for 2023 & Beyond​
The Top 5 Cloud Trends for 2023 & Beyond

5/5 (2)

5/5 (2)

Organisations in Asia Pacific are no longer only focused on employing a cloud-first strategy – they want to host the infrastructure and workloads where it makes the most sense; and expect a seamless integration across multiple cloud environments.

While cloud can provide the agile infrastructure that underpins application modernisation, innovative leaders recognise that it is only the first step on the path towards developing AI-powered organisations. The true value of cloud is in the data layer, unifying data around the network, making it securely available wherever it is needed, and infusing AI throughout the organisation.

Cloud provides a dynamic and powerful platform on which organisations can build AI. Pre-trained foundational models, pay-as-you-go graphics superclusters, and automated ML tools for citizen data scientists are now all accessible from the cloud even to start-ups.

Organisations should assess the data and AI capabilities of their cloud providers rather than just considering it an infrastructure replacement. Cloud providers should use native services or integrations to manage the data lifecycle from labelling to model development, and deployment.

In this Ecosystm Byte, sponsored by Oracle, Ecosystm Principal Advisor, Darian Bird presents the top 5 trends for Cloud in 2023 and beyond. Read on to find out more.

Download ‘The Top 5 Cloud Trends for 2023 & Beyond’ as a PDF

Get your Free Copy
0
0