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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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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 the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...