Leaders Roundtable: Revolutionising Data Management: Streamlining Governance and Automation for Maximum Business Benefit

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Leaders Roundtable: Revolutionising Data Management: Streamlining Governance and Automation for Maximum Business Benefit

With economic headwinds, increased pressure to reduce headcount, and the ever-growing rate of digital transformation, businesses and technology leaders are embracing data, AI, and automation to achieve more with less.

But how do we ensure that the data we collect, store, and use is secure and in compliance with regulations?

Ecosystm research finds that in Singapore:

  • More than 40% of organisations will revisit their data and AI strategy in 2023, particularly to improve employee productivity and promote innovation
  • Nearly 60% of technology leaders assume that their organisations will get breached
  • 78% of these leaders feel that there is limited understanding of risks, leading to a lack of data governance and internal policies

Discovering, observing, and monitoring data remain a major challenge. Traditional data governance often fails as complexity drives poor behaviours. And as organisations build out their AI algorithms and capabilities, it is important to be able to govern the AI to deliver trusted outcomes.

At the same time, with the tight employment market and hiring freezes, access to the right skills to manage and govern data, and create the data-driven outcomes, become challenging.

It is time to think of innovative solutions to simplify governance, reduce risk, and turn data into a valuable asset.

Join us and your industry peers to discuss:

  • How data observability can be improved, meeting AI governance requirements
  • Overcoming skills challenges to create data-driven outcomes
  • The potential of low/no-code solutions to empower the business and drive value creation
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5 Sustainability Actions for BFSI Tech Leaders

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Leading Banking and Financial Services organisations play a crucial role in financing sustainability transition. They have the infrastructure and resources to kickstart their own sustainability journey. But beyond that, they also have a greater role in building a sustainable value chain. 

This extends to helping the traditional economy to transition; green investments to promote organisations with the right intentions; and empowering their customers to make environmentally-friendly choices.

As a technology leader in BFSI, you are an integral part of your organisation’s sustainability journey. Here are 5 ways in which BFSI tech leaders can support their organisations to turn sustainability intentions into reality.

Align tech with business goals and strategy. Think like a business leader and understand larger goals beyond technology deployments to empower your team.

View reporting as more than a checklist. You are in an ideal position to demonstrate the value of data insights beyond reporting mandates to the leadership team – link them to larger business outcomes.

Build intelligence into your facilities and assets. Consider investing in an intelligent enterprise asset management solution to automate asset and infrastructure management, remotely monitor and manage asset operations, and achieve sustainable business outcomes.

Automate your infrastructure allocation. You are increasingly using FinOps tools and other predictive analytics dashboards for cost and resource optimisation – extend the use for greater energy efficiency.

Understand your organisation’s unique sustainability journey. Seek independent opinion from third parties to empower your organisation to take the first step in the sustainability strategy, derive insights from data assets, and create market differentiation.

Read on to find more.

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Ecosystm Podcast Episode 21-Paul Burton-GM-APAC-IBM

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Leaders Roundtable: Accelerating Your Outcomes: Smart Integration & Automation in Your Business

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Leaders Roundtable: Accelerating Your Outcomes: Smart Integration & Automation in Your Business

Business technology systems and platforms are increasing in complexity.

The past few years have seen business leaders embrace digital systems – implementing new systems and tools to rapidly solve business and customer challenges. But this investment has come with a cost, and creates challenges for tech teams:

  • Applications reside across multiple cloud environments – public and private
  • Data is scattered across many different silos, limiting opportunities for learning and insight
  • Security and customer privacy can be compromised by poor API and data management

Join your industry peers for this Digital Leaders Roundtable to learn how businesses are creating intelligent processes and applications; and reducing their technology complexity by securely connecting applications and data across any cloud or on-premises environment. During the discussion I will share Ecosystm’s independent research on AI and automation vendors – what is the market perception of the leading providers and why do buyers prefer these leaders?

During the roundtable, we will share and discuss:

  • How businesses are selecting Automation and AI technology partners
  • Practical examples of how organisations are using automation to integrate applications and systems across private and public clouds
  • Why businesses are moving from automating tasks to entire processes

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Leaders Roundtable: Why Organisations in New Zealand Fail to Maximise the Value of their Data

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Leaders Roundtable: Why Organisations in New Zealand Fail to Maximise the Value of their Data

Most organisations today continue to underutilise the data they generate, and struggle to deliver on business outcomes.

At the same time, they face multiple challenges – continuing supply chain disruptions; an ongoing energy crisis that has led to a strong focus on sustainability; economic uncertainty; skills shortage; and increased competition from digitally native businesses – where the effective use of data holds the answer!

Ecosystm research finds that in New Zealand:

  • Only 38% of organisations have Data & AI strategy as a key priority
  • 47% of organisations find it a challenge to secure budgets for Data & AI because they are unable to show business value
  • 56% of organisations do not have a well-defined data strategy that focuses on seamless access of real-time data across the organisation
  • 72% of organisations are still focused on building a central data repository despite the emergence of data fabrics

Join this Executive Leaders Roundtable to discuss how you can support your organisation’s evolving priorities, demonstrate the outcomes that your organisation wants to achieve, and build a futureproof data strategy that considers the context within which your business operates in Aotearoa New Zealand.

Discussion points will include:

  • How ready organisations’ current data strategies are for emerging trends such as ESG reporting and sustainability measures
  • How a robust technology platform can mitigate challenges through efficient data collection and verification, better forecasting, and scenario modelling, and automation
  • How cloud can be an enabler and at the same time meet Māori data sovereignty requirements
  • The importance of a data governance policy in driving a data-driven mindset?

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The Future of Business: 5 Ways IT Teams Can Help Unlock the Value of Data

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In the rush towards digital transformation, individual lines of business in organisations, have built up collections of unconnected systems, each generating a diversity of data. While these systems are suitable for rapidly launching services and are aimed at solving individual challenges, digital enterprises will need to take a platform approach to unlock the full value of the data they generate.

Data-driven enterprises can increase revenue and shift to higher margin offerings through personalisation tools, such as recommendation engines and dynamic pricing. Cost cutting can be achieved with predictive maintenance that relies on streaming sensor data integrated with external data sources. Increasingly, advanced organisations will monetise their integrated data by providing insights as a service.

Digital enterprises face new challenges – growing complexity, data explosion, and skills gap.

Here are 5 ways in which IT teams can mitigate these challenges.

  1. Data & AI projects must focus on data access. When the organisation can unify data and transmit it securely wherever it needs to, it will be ready to begin developing applications that utilise machine learning, deep learning, and AI.
  2. Transformation requires a hybrid cloud platform. Hybrid cloud provides the ability to place each workload in an environment that makes the most sense for the business, while still reaping the benefits of a unified platform.
  3. Application modernisation unlocks future value. The importance of delivering better experiences to internal and external stakeholders has not gone down; new experiences need modern applications.
  4. Data management needs to be unified and automated. Digital transformation initiatives result in ever-expanding technology estates and growing volumes of data that cannot be managed with manual processes.
  5. Cyber strategy should be Zero Trust – backed by the right technologies. Organisations have to build Digital Trust with privacy, protection, and compliance at the core. The Zero Trust strategy should be backed by automated identity governance, robust access and management policies, and least privilege.

Read below to find out more.

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Leaders Roundtable: The Need to Evolve Data Governance & Management

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Leaders Roundtable: The Need to Evolve Data Governance & Management

A lack of data governance can harm your business

The way we govern and manage our data is critical in an environment where data breaches have become all too common.

According to a report by Ponemon Institute (sponsored, analysed, and published by IBM):

  • 83% of businesses experienced multiple data breaches over the past 12 months.
  • 42% of data breaches originate internally, where the average time to identify and contain them is 277 days!
  • In 2022 a single breach can cost around USD 4.2 million for Australian businesses.

Yet organisations in Australia fail to understand the risks fully, according to technology and cybersecurity decision-makers.

Every organisation needs to secure its data at every stage of its life. This means the data team must manage the data better and that the cybersecurity team has to protect the data. Policies and controls that support secure behaviour are crucial to keep customer data private and secure. The success of cybersecurity initiatives will depend equally on data security and data governance.

Join your industry peers for this Executive Leaders discussion on how businesses are changing their approach to data governance and management. The conversation will highlight how they are reducing the attack surface, improving their ability to respond to breaches, and the processes and data governance required to drive a more secure, compliant business.

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