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How Digital Enterprises Can Navigate the Technological Landscape in 2024

Prithika Sharone
ManageEngine

In the dynamic business landscape, success is not an achievement but an ongoing journey. Once heavily reliant on streamlining manual operations and physical communications, organizations adapted as the digital revolution unfolded, embracing transformative technologies to sustain themselves and maintain success.
Today, as enterprises transcend into a new era of work, surpassing the revolution, they must shift their focus and strategies to thrive in this environment. Here are five key areas that organizations should prioritize to strengthen their foundation and steer themselves through the ever-changing digital world.

1. Elevated priority on privacy and AI governance

Although 2023 has witnessed numerous regulations across geographies — including the California Consumer Privacy Act, the EU's AI Act, the UAE's Data Protection Act, and India's Digital Personal Data Protection Act — the implementation of similar policies across various regions is imminent. With AI being integrated into many aspects of business, disruptive technologies (such as deepfakes and augmented reality) threaten privacy and pose significant risks. To ensure ethical, transparent, and fair use of the technology, AI governance should be paramount to businesses. Privacy must be ingrained into the core of every business going forward, and protecting it should become the responsibility of every individual in the organization.

2. Adopting purpose-built LLMs

Ever since the advent of AI, businesses have leveraged its capabilities to fulfill predictive analysis and automate low-level tasks. However, the narrow applications of AI and its immense engineering difficulties call for AI training models that can cater to all aspects of a business. Enterprise-focused large language models (LLMs) help both employees and customers alike achieve deep-nested conversations with the enterprise's offerings and align better with evolving software tools. Adapting such models is imperative for enterprises to deploy their vast amount of knowledge to address both their creative and redundant workloads. It empowers organizations to protect their data, reduce biases in their data, and provide detailed audit reports to understand AI decisions.

3. Enterprise-wide orchestration

More recently, businesses have turned to digital transformation to carry out their core functions online. This transition has presented the challenge of fragmentation — splitting data into organizational silos and hampering the flow of information. Enterprises can overcome the issue of fragmentation by harnessing the power of orchestration, which allows the construction of interconnected digital pipelines that lead to workflow automation and streamlined operations. Adopting this user-friendly and accessible technology prepares organizations to make complex tasks achievable and survive in the digital realm.

4. Evolution to a secure digital-first experience

Moving on from traditional work methodologies, organizations must integrate contemporary IT management tools to provide a holistic and safe digital journey. In 2024, enterprises should also adopt an identity-centric approach, ensuring that only authorized individuals are granted access and permissions to organization resources, thus safeguarding their identities and data. Going a step further, cloud infrastructure and entitlement management (CIEM) must be implemented to increase granular visibility and minimize threats through the comprehensive view of identities and entitlements provided across diverse cloud environments. Together, identity-centric management and CIEM solutions will bolster security and enable a worry-free digital experience for end users.

5. Cyber resilience as a business differentiator

Today's technological landscape presents a series of challenges for modern companies that stunt progress. These challenges include the geopolitical climate, technological disruption, cyberthreats, competitive pressure, and many other factors, all of which could be more easily faced when strategic plans are in place. In 2024, companies should look to actively adopt plans that foster the tools, solutions, and culture necessary to enhance their overall cyber-resiliency posture. Consequentially, cyber resilience must emerge as a key business differentiator, enabling organizations to succeed in the complex global market. These five concepts are crucial pillars of the modern digital landscape and can help enterprises navigate the rising number of IT challenges. By being attuned to such technological advancements, organizations increase their chances of innovating better, delivering responsibly, fortifying their defenses, and anchoring their presence in the market for not just this year but many more to come.

Prithika Sharone is an Enterprise Analyst at ManageEngine

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

How Digital Enterprises Can Navigate the Technological Landscape in 2024

Prithika Sharone
ManageEngine

In the dynamic business landscape, success is not an achievement but an ongoing journey. Once heavily reliant on streamlining manual operations and physical communications, organizations adapted as the digital revolution unfolded, embracing transformative technologies to sustain themselves and maintain success.
Today, as enterprises transcend into a new era of work, surpassing the revolution, they must shift their focus and strategies to thrive in this environment. Here are five key areas that organizations should prioritize to strengthen their foundation and steer themselves through the ever-changing digital world.

1. Elevated priority on privacy and AI governance

Although 2023 has witnessed numerous regulations across geographies — including the California Consumer Privacy Act, the EU's AI Act, the UAE's Data Protection Act, and India's Digital Personal Data Protection Act — the implementation of similar policies across various regions is imminent. With AI being integrated into many aspects of business, disruptive technologies (such as deepfakes and augmented reality) threaten privacy and pose significant risks. To ensure ethical, transparent, and fair use of the technology, AI governance should be paramount to businesses. Privacy must be ingrained into the core of every business going forward, and protecting it should become the responsibility of every individual in the organization.

2. Adopting purpose-built LLMs

Ever since the advent of AI, businesses have leveraged its capabilities to fulfill predictive analysis and automate low-level tasks. However, the narrow applications of AI and its immense engineering difficulties call for AI training models that can cater to all aspects of a business. Enterprise-focused large language models (LLMs) help both employees and customers alike achieve deep-nested conversations with the enterprise's offerings and align better with evolving software tools. Adapting such models is imperative for enterprises to deploy their vast amount of knowledge to address both their creative and redundant workloads. It empowers organizations to protect their data, reduce biases in their data, and provide detailed audit reports to understand AI decisions.

3. Enterprise-wide orchestration

More recently, businesses have turned to digital transformation to carry out their core functions online. This transition has presented the challenge of fragmentation — splitting data into organizational silos and hampering the flow of information. Enterprises can overcome the issue of fragmentation by harnessing the power of orchestration, which allows the construction of interconnected digital pipelines that lead to workflow automation and streamlined operations. Adopting this user-friendly and accessible technology prepares organizations to make complex tasks achievable and survive in the digital realm.

4. Evolution to a secure digital-first experience

Moving on from traditional work methodologies, organizations must integrate contemporary IT management tools to provide a holistic and safe digital journey. In 2024, enterprises should also adopt an identity-centric approach, ensuring that only authorized individuals are granted access and permissions to organization resources, thus safeguarding their identities and data. Going a step further, cloud infrastructure and entitlement management (CIEM) must be implemented to increase granular visibility and minimize threats through the comprehensive view of identities and entitlements provided across diverse cloud environments. Together, identity-centric management and CIEM solutions will bolster security and enable a worry-free digital experience for end users.

5. Cyber resilience as a business differentiator

Today's technological landscape presents a series of challenges for modern companies that stunt progress. These challenges include the geopolitical climate, technological disruption, cyberthreats, competitive pressure, and many other factors, all of which could be more easily faced when strategic plans are in place. In 2024, companies should look to actively adopt plans that foster the tools, solutions, and culture necessary to enhance their overall cyber-resiliency posture. Consequentially, cyber resilience must emerge as a key business differentiator, enabling organizations to succeed in the complex global market. These five concepts are crucial pillars of the modern digital landscape and can help enterprises navigate the rising number of IT challenges. By being attuned to such technological advancements, organizations increase their chances of innovating better, delivering responsibly, fortifying their defenses, and anchoring their presence in the market for not just this year but many more to come.

Prithika Sharone is an Enterprise Analyst at ManageEngine

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...