AI in Business - Global Trends Report 2024 powered by Addepto

and contributed by SapienceS2P with expert insights in AI, Transformation and Procurement's new work world.

The insights from our research underscore the transformative potential of Gen AI in business, but also highlight the complexities and challenges involved in its implementation, ranging from data security to scalability and legal concerns. Additionally, there is a significant trend towards more tailored, industry-specific,

and consequently smaller applications, as well as a strategic approach to integrating AI into business practices. Companies are encountering multiple challenges in this area.

One thing is certain - the landscape of Gen AI is predominantly experimental. Businesses and researchers are actively testing and developing proofs of concept (PoCs), yet there remains a notable absence of fully operational production solutions.

This means there is still much to discover, for example:

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As a customer-centric company, we provide personalized solutions tailored to specific needs. Our top SAP procurement consultants enhance workflows, leveraging the SAP Ariba Network for data-driven supplier decisions, promoting sustainability, and ensuring delivery reliability. SapienceS2P drives digital transformation in procurement, making businesses more agile, data-driven, and competitive.

The capabilities of AI - not just Generative AI - theoretically seem limitless. AI can automate a large portion of processes that currently do not add any value to businesses but only generate costs.

One such area, for example, is the management of purchasing and invoices in a company. We have implemented a bot capable of creating a purchasing strategy and assessing the risks of a given partnership, considering specific parameters, and then ensuring the continuity of the process, including control of processes related to invoice management.

Our solution used various AI techniques, not just Gen AI, but also OCR and ML; however, the key turned out to be the user experience. We created a unified environment, thanks to which the user no longer had to log into three different systems in search of required information, but could communicate with the bot through Teams and there obtain all the necessary information. And that's not all, such a bot can also function as a personal assistant, helping to streamline workflow, for example, by reminding you to inform colleagues that they can continue a given process, or reminding you of your tasks at the beginning of the week.

SapienceS2P’s AI-Enhanced Procurement Pipeline AI in Business

We have implemented a bot capable of creating a purchasing strategy and assessing the risks of a given partnership, considering specific parameters, and then ensuring the continuity of the process, including control of processes related to invoice management. Our solution used various AI techniques, not just Gen AI, but also OCR and ML; however, the key turned out to be the user experience.

We created a unified environment, thanks to which the user no longer had to log into three different systems in search of required information, but could communicate with the bot through Teams and there obtain all the necessary information.

And that's not all, such a bot can also function as a personal assistant, helping to streamline workflow, for example, by reminding you to inform colleagues that they can continue a given process, or reminding you of your tasks at the beginning of the week.

Of course, each implementation is different because it depends on the data that the organization has. Most have data that is completely unprepared for AI, which the boom in Gen AI has highlighted.

The good news is that thanks to Gen AI, it is largely possible to speed up and optimize the data cleaning processes, which once required considerable resources and manual labor.

Meet the experts who shared their firsthand experiences with Gen AI adoption in our "Gen AI in Business | Global Trends Report 2024":

??Dario Kuli?, Senior Partner at SapienceS2P’s, provided insights into AI-enhanced procurement strategies.

??Piotr Bombol, Founder at adaily.co, delved into how ChatGPT has revolutionized the world and highlighted the trends shaping the future of Gen AI and named the most interesting applications using it.

??Kiryl Halozhyn, Solutions Engineer at Databricks, provided insights into various types of Large Language Models and techniques for tuning them

??Piotr Micha?owski, Agile Coach & AI Community Lead at InPost, uncovered the biggest obstacles facing companies hesitant to implement Gen AI and identified areas within companies that can benefit most from Generative AI tools.

??Dominika Bucholc, AI & Strategy Expert, emphasized the importance of building an AI strategy.

??Adam Koz?owski, Head of Automotive R&D at Grape Up, shared strategies for utilizing Gen AI in data operations.

??Krzysztof Rajda, Head of AI at Brand24, discussed how Gen AI is incorporated into the company's services, enhancing their capabilities.

??Joanna Witek, Product Lead at Finiata, showcased how Gen AI is revolutionizing financial services and predicted upcoming trends in the AI landscape.

??Yuliia Pysmenna, COO at Tutlo.com, shared insights on using Gen AI in product development.

??Agnieszka B?k, ESG Consultant and AI Solutions Designer at Clouds On Mars, presented the company's approach to using Gen AI in ESG reporting.

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