2023 has been a landmark year for generative artificial intelligence (AI). Tools like ChatGPT, Scribe, and GitHub Copilot have taken this year by storm. It has completely changed the game thanks to the fact that it allows anyone to effortlessly generate everything from email subject lines to intricate code and artwork— basically everything you can think of in the blink of an eye.

As the year draws to a close, every organization out there is asking themselves, how can I use Artificial Intelligence (AI) to improve my business somehow? How do I drive a dramatic change across customer satisfaction and employee efficiency?

The overall consensus is “I want to be able to use AI in a way that’s very much personalized to my specific business and allows me to drive tangible outcomes for my business.”

While that is certainly the end goal for many organizations today, many face challenges in actualizing these AI strategies. This struggle has led to a new trend – “bring your own AI”(BYO AI) – where employees integrate consumer AI tools (like ChatGPT) into their workflows. This shift underlines an urgency for corporate-sanctioned AI strategies that many organizations struggle to keep pace with.

As we’re gearing up for 2024, let’s explore the trajectory of AI and its potential to transform industries while acknowledging the challenges and ethical considerations ahead.

The Rise of BYO AI in Workplace: How Many Will Embrace It in 2024?

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A recent market survey predicts that 60% of workers will use their own AI tools to perform and enhance their job functions. It means more than half of the workforce is going to be using some form of AI to do a substantive part of their work. This democratization of AI will empower employees across sectors, making businesses more agile and responsive.  Employees will use those tools to successfully automate mundane tasks, freeing them up to apply their uniquely human abilities (like interpretation, judgment, marketing, communication, empathy, decision support, or sales) and explore new problems and opportunities. We foresee that organizations or employees will be successful in improving their productivity over the next 12 months. 

Of course, bringing AI to work and using it effectively isn’t necessarily the same thing.

Effectively harnessing AI at work goes beyond mere implementation. The crux of user adoption lies in fostering a data-literate culture where employees interact with and leverage AI tools proficiently. This cultural shift is integral to realizing the full productivity potential of AI.

Nevertheless, organizations should also consider establishing robust policies for managing personal AI tools to address potential security and privacy threats. This move is not just about mitigating risks— it’s a strategic push towards developing corporate-sanctioned AI solutions. 

Ultimately, it will push them towards developing and delivering a corporate-sanctioned version of AI that the workforce can use without jeopardizing security management.

AI-Driven Software Development: The New Frontier

AI-Driven Software Development: The New Frontier

Generative AI and Turing bots are swiftly becoming game changers in software development. They boost developer productivity significantly, with reports of efficiency increases from 15% to 30%. These tools assist in all software lifecycle stages, from planning to deployment. This assistance speeds up code writing and the overall software development process.

This surge in AI-assisted development is not just about speeding up existing workflows. It’s about reinventing how software is conceived, designed, and brought to market. Developers are now able to produce more code at a faster rate than ever before, thanks to the sophisticated capabilities of these AI tools.

Automation & Industry 5.0

Automation & Industry 5.0

Industry 5.0 emphasizes the integration of human creativity with AI-driven automation. Generative AI is vital in enhancing this collaboration, allowing for adaptive automation that can respond to diverse demands and enable mass customization with the same efficiency as mass production. It also focuses on improving workplace safety by leveraging AI and predictive analysis. The aim is to create a more flexible, efficient, and human-centric industrial environment. Tools like Crave’s CALM harness AI & ML to automate application lifecycle management. The suite is built on the SAP Business Technology Platform. It provides a 360-degree view of the application lifecycle and landscape management to help organizations navigate the digital landscape with agility and foresight to fuel operational efficiency.

Generative AI in Talent Management

Generative AI in Talent Management | Crave Infotech

One of the many teams leveraging AI to streamline its work is HR! The HR sector is undergoing a transformative shift with the integration of AI in talent management. A significant 89% of enterprises are either using or planning to use AI in their hiring processes, per SHRM reports. This shift is driven by AI’s ability to streamline traditionally manual HR tasks. Conversational and generative AI, like ChatGPT and LLMs, are enhancing HR operations from candidate interactions to internal communications. 

However, there’s caution around AI in HR, particularly around potential communication gaps and management errors. Some experts fear it might inadvertently result in hiring for non-existent jobs or even non-existent candidates.

Despite these concerns, the use of AI in HR is unlikely to wane, especially for managing large data volumes, from analyzing employee skills to sentiment. This increasing reliance on AI calls for more robust internal and external oversight to ensure ethical use and compliance. The focus is shifting towards responsible AI management to balance risk and benefit maximization in HR.

Meeting Sustainability Ambitions with Generative AI

Meeting Sustainability Ambitions with Generative AI

Generative AI is significantly aiding organizations in achieving sustainability goals. It optimizes energy efficiency and resource management operations, reducing carbon footprints and promoting eco-friendly practices. AI-driven insights help businesses make informed, sustainable decisions. For example, an AI-driven tool like Crave InfoTech’s sustainable solution, the Intelligent Ecological Balance Reporting and Analysis solution, is designed to help you measure and achieve your sustainability goals. Built on SAP BTP, it offers features for analyzing and reducing your carbon footprint across various business verticals with customized KPIs, including Carbon Footprint Tracking, Resource Consumption Analysis, and Environmental Impact Assessment. Additionally, it facilitates Stakeholder Engagement and Scenario Planning. These features work together to support comprehensive sustainability management.

Training and Data Literacy in AI Use

With AI becoming more integral to business operations, the need for prompt engineering training and data literacy will rise. Organizations will start to invest in training their workforce to communicate effectively with AI tools, ensuring they leverage AI’s capabilities responsibly. Forester predicts that 60% of data and analytics professionals will get prompt engineering training in 2024. It involves carefully crafting the prompts to take the AI model and improve its performance.

Interestingly, only 33% of US and UK data and analytics employees agreed that their organizations currently provide training on communicating with chatbots, independent physical robots, or intelligent agents via prompts. We predict organizations will soon recognize the gap and invest more in this area.

Looking ahead, for businesses to fully capitalize on the advantages of AI, it is not enough to simply focus on AI development. There is a need for a comprehensive approach that includes AI search capabilities, prompt creation training, and data communicators’ development to evangelize the AI tooling and act as analytics translators to help people adopt those new technologies you’re offering.

Final Thought

As 2024 approaches, it’s clear that AI’s journey is far from over; it will be even more intertwined with our daily lives. With its expanding role in various sectors and its potential to drive significant business and societal change, the focus must now be on harnessing AI responsibly and ethically. 

This involves navigating complex challenges, such as legal, security and privacy risks associated with unsanctioned AI use. With 2024 being an election year in the US and several other countries, AI’s role has added significance. The growing ability of AI to generate content could intensify the trend of misinformation and deepfake issues in that context. Robust policies and ethical guidelines are essential to harness AI’s potential while mitigating these risks. Our priority must be to guide its advancement with a balanced approach.

After all, the future of AI is not just about technological advancements; it’s about creating a synergy between AI and human ingenuity to build a more efficient, sustainable, and inclusive world.

Contact us today to discover how Crave InfoTech’s expertise can guide you in implementing AI responsibly and effectively, ensuring you stay ahead in 2024 and beyond.

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