Top 6 trends that are shaping the future of Enterprises in 2024

Hema Gandhi
December 27, 2023
3 mins.
Twitter - Elements Webflow Library - BRIX TemplatesLinkedIn - Elements Webflow Library - BRIX Templates

The rapid advancements in artificial intelligence (AI) and automation technologies continue to reshape the landscape of industries, resulting in significant changes in how businesses operate and innovate. In this article, we will explore the top trends influencing the adoption and impact of AI and automation across enterprises.

Enterprise-wide Adoption of Generative AI: Focus on CX and EX enhancement

One of the growing trends in the AI landscape is the enterprise-wide adoption of GenAI. Businesses are expected to move beyond the experimental phase of Proof of Concepts (POCs) and will focus on scaling up their AI initiatives. Generative AI will be used to perform more intellectual tasks than a human being can like creating, researching, and reorganising content. According to ISG Research, 85% of enterprises believe that investment in generative AI technology in the next 24 months is critical. However, organisations need to look beyond just task automation and streamlining operations to the greater potential of the technology to create innovative solutions that drive business growth and value. From optimising supply chain management to enhancing customer experiences, the potential applications of GenAI are vast and transformative.

Infrastructure Providers vs. Model Providers vs. Applications Providers: The Revenue Dynamics

In the AI and automation ecosystem, a noteworthy trend is emerging in terms of revenue distribution among different players. Traditionally, application providers garnered the lion's share of revenue. However, with the rise of AI, infrastructure providers are positioned to continue reaping substantial profits. This shift in revenue dynamics can be attributed to the increasing demand for robust computing power to support AI model training and deployment. Companies that offer powerful, scalable infrastructure for AI, as well as those developing cutting-edge AI models, are becoming central players in the evolving AI landscape.

Regulatory Landscape: More Regulations Around AI

As AI technologies become integral to business operations, governments and regulatory bodies are stepping up efforts to establish guidelines and regulations. The increased scrutiny of AI is driven by concerns related to ethics, privacy, and the potential societal impact of advanced automation. The trend towards more regulations signifies the recognition of AI's transformative potential and the need to ensure responsible and ethical use. Organisations will also develop their governance model to ensure compliance with standards that safeguard user privacy, prevent bias in AI algorithms, and address the ethical implications of AI applications.

Integrating Multiple Technologies: AI, ML, RPA, OCR, and Beyond

The trend of integrating multiple technologies is at the forefront of innovation, offering businesses a powerful toolkit to enhance efficiency and productivity. Organisations are increasingly leveraging a combination of cutting-edge technologies, such as General Artificial Intelligence (GenAI), Robotic Process Automation (RPA), Optical Character Recognition (OCR), and others, to create comprehensive and synergistic solutions. By seamlessly integrating these technologies, businesses can orchestrate complex workflows, streamline processes, and extract actionable insights from diverse data sources emphasising the importance of a holistic approach to technology adoption.

Faster cycle time with Low Code/No Code Applications: Empowering Citizen Developers

The growth of low-code and no-code applications is transforming the landscape of software development, ushering in an era where individuals with minimal coding experience can actively contribute to application creation. This democratisation of technology is marked by the rise of platforms that simplify the application development process. Low-code platforms, with their visual interfaces and pre-built components, empower citizen developers to design and deploy applications without the need for extensive coding skills. Forrester found that low-code development platforms expedite app delivery by accelerating development by 10 times. Similarly, no-code platforms take this accessibility a step further, allowing users to create functional applications through intuitive interfaces without writing a single line of code. The accessibility of no-code AI platforms contributes to a more inclusive approach to technology, enabling a broader range of professionals to participate in the AI revolution.

Creativity on the Decline: AI's Impact on Imagination

While AI and automation technologies offer unparalleled capabilities, a paradoxical trend is emerging: the potential decline of human creativity. With AI-powered tools like ChatGPT, Microsoft's Designer, and GitHub Copilot, tasks that traditionally required human creativity and imagination are now being assisted or even automated. As these tools become more sophisticated, there is a concern that human creativity may be stifled or replaced. Enterprises need to strike a balance, leveraging AI to enhance productivity while preserving and fostering human creativity and innovation.

As businesses continue to adopt and integrate AI solutions, staying informed about these trends is crucial for making strategic decisions and harnessing the full potential of AI and automation in the ever-evolving digital era. The future of businesses will be significantly dependent on transformative technologies and we will see tremendous uptick in its adoption while ensuring guardrails are in place for secured, scalable, accurate usage of data.

Artificial Intelligence
Accelerating Automation
Digital Transformation
Generative AI
Intelligent Automation
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.