Tag: IBM

Recently, Prasad Kurup, VP & Senior Partner, Asia Pacific – Data & Technology Transformation, IBM caught up with Sash Mukherjee, VP Content & Industry Research, Ecosystm to discuss how technology teams and business leaders can come together to deliver business value through data & AI.

Listen to this episode to find out Kurup’s views on:

• The key drivers for embarking on a data journey for most organisations
• The biggest challenges – technological and business – of Data & AI programs
• What organisations need to do to futureproof their data investments

In this episode Sash Mukherjee, VP Content & Industry Research, Ecosystm caught up with Shanker V Selvadurai, Vice President & CTO, IBM Asia Pacific to discuss what technology teams can do to mitigate the challenges that digital enterprises face, and bring value to the business.

Hear Shanker’s views on:

• What technology teams need to focus on to align with business objectives
• Strategies to manage data better
• The benefits of a Zero Trust model

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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In recent years, businesses have faced significant disruptions. Organisations are challenged on multiple fronts – such as the 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. The challenge today is to build intelligent, data-driven, and agile businesses that can respond to the many changes that lie ahead.

Leading organisations are evaluating ways to empower the entire business with data, machine learning, automation, and AI to build agile, innovative, and customer-focused businesses. 

Here are 7 steps that will help you deliver business value with data and AI:

• Understand the problems that need solutions. Before an organisation sets out on its data, automation, and AI journey, it is important to evaluate what it wants to achieve. This requires an engagement with the Tech/Data Teams to discuss the challenges it is trying to resolve.
• Map out a data strategy framework. Perhaps the most important part of this strategy are the data governance principles – or a new automated governance to enforce policies and rules automatically and consistently across data on any cloud.
• Industrialise data management & AI technologies. The cumulation of many smart, data-driven initiatives will ultimately see the need for a unified enterprise approach to data management, AI, and automation.
• Recognise the skills gap – and start closing it today. There is a real skills gap when it comes to the ability to identify and solve data-centric issues. Many businesses today turn to technology and business consultants and system integrators to help them solve the skills challenge.
• Re-start the data journey with a pilot. Real-world pilots help generate data and insights to build a business case to scale capabilities.
• Automate the outcomes. Modern applications have made it easier to automate actions based on insights. APIs let systems integrate with each other, share data, and trigger processes; and RPA helps businesses automate across applications and platforms.
• Learn and improve. Intelligent automation tools and adaptive AI/machine learning solutions exist today. What organisations need to do is to apply the learnings for continuous improvements.

Find more insights below.

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Chetan Kumar Krishnamurthy, Vice President and Chief Marketing Officer, APAC, IBM caught up with Sash Mukherjee, VP Content & Industry Research, Ecosystm recently to discuss what businesses should focus on when developing and re-inventing their change strategies.

Listen to this episode to find out Chetan’s views on:

• How organisations can keep up with the pace of change, handling all their different (often conflicting) priorities
• The strategies to manage technical debt
• How organisations can build a culture of change

COP26 has firmly put environmental consciousness as a leading global priority. While we have made progress in the last 30 odd years since climate change began to be considered as a reality, a lot needs to be done.

No longer is it enough for only governments to lead on green initiatives. Now is the time for non-profit organisations, investors, businesses – corporate and SMEs – and consumers to come together to ensure we leave a safer planet for our children. 

February saw examples of how technology providers and large corporates are delivering on their environmental consciousness and implementing meaningful change.

Here are some announcements that show how tech providers and corporates are strengthening the Sustainability cause:

Cities worldwide have been facing unexpected challenges since 2020 – and 2022 will see them continue to struggle with the after-effects of COVID-19. However, there is one thing that governments have learnt during this ongoing crisis – technology is not the only aspect of a Cities of the Future initiative. Besides technology, Cities of the Future will start revisiting organisational and institutional structures, prioritise goals, and design and deploy an architecture with data as its foundation.

Cities of the Future will focus on being:

• Safe. Driven by the ongoing healthcare crisis
• Secure. Driven by the multiple cyber attacks on critical infrastructure
• Sustainable. Driven by citizen consciousness and global efforts such as the COP26
• Smart. Driven by the need to be agile to face future uncertainties