ADC Consulting October 2024 Newsletter

ADC Consulting October 2024 Newsletter

Ready to implement secure data and AI solutions? Dive into our latest insights to get started!

As we embark on another month filled with innovation, insights, and impactful transformations, we are excited to bring you the latest from the forefront of data and artificial intelligence. In this newsletter, we will dive deep into the trends reshaping industries, share expert perspectives, and highlight success stories that illustrate the power of harnessing data and AI.

Join us as we explore the dynamic intersection of data, AI, and innovation, and discover how together, we can turn data into a strategic advantage.


News: Clever°Franke is now part of ADC Consulting

ADC has taken a major step toward becoming a global leader in data & AI consulting with the acquisition of CLEVER°FRANKE , an internationally acclaimed firm specialising in a design-driven approach to data & AI. While ADC excels in building robust infrastructures and advanced algorithms, C°F adds a user-centred, visually compelling design perspective.

Together, we have offices in Amsterdam, Chicago, Copenhagen, Stockholm, and Utrecht, and serve clients globally, delivering solutions that maximise the value of data.Their work on projects like the Dutch coronavirus dashboard and Eurovision Song Contest highlights their skill in turning complex data into valuable insights, aligning with our shared vision of creating positive impact.

Read more about this exciting acquisition here → https://adc-consulting.com/insights/adc-acquires-cleverfranke-to-strengthen-global-data-ai-consultancy-services-2/


Case Study: Accelerating Drug Development Time-to-Market

In collaboration with a global pharmaceutical company, ADC helped develop a data and AI analytics platform driven by a commitment to reshape the landscape of healthcare data science. The overarching objective of this initiative was to not only accelerate time-to-market of new medicines but also to significantly boost productivity throughout our client’s organisation, underscoring the platform’s pivotal role in advancing healthcare innovation.

Read the full case to explore the development and objectives of the platform and its implications for healthcare advancement → https://adc-consulting.com/cases/accelerating-drug-development-time-to-market/


Blog: The Added Value of Large Language Models like ChatGPT for the Agri & Food Industry

In our latest article, we provide an overview of LLMs, the distinctions between LLMs and other data tools, and ADC’s two implementation approaches. We also explain six examples of LLM initiatives within the Agriculture & Food industry:

1. Supply chain optimisation

2. Side stream matching

3. Customer support enhancement

4. Food safety and quality control

5. Recipe development

6. Personalised nutrition

Interested in learning how LLMs can drive innovation and improve efficiency in the Agriculture & Food sector? Read more here → https://adc-consulting.com/insights/the-added-value-of-large-language-models-like-chatgpt-for-the-agriculture-food-industry/


Blog: Succeeding Without Formal Authority in the Data & AI Era

Leadership in the era of Data and AI is evolving. The traditional top-down approach is giving way to influence and collaboration without formal authority. At ADC, we believe strong relationships, emotional intelligence, and shared decision-making are crucial in this new landscape. Our unique collective model fosters a culture of empowerment and continuous upskilling, enabling our teams to thrive in a rapidly changing environment.

How is your organisation keeping up with the leadership shifts driven by data and AI? We invite you to explore our insights and approach to sustainable growth here → https://adc-consulting.com/insights/succeeding-without-formal-leadership-in-the-data-and-ai-era/

Godwin Josh

Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer

1 个月

The focus on accelerating drug development time-to-market resonates with the historical push for faster innovation in pharmaceuticals, reminiscent of the "war on cancer" initiatives of the past. However, the integration of LLMs into the Agri & Food industry presents a fascinating new frontier. Given the inherent complexity of biological systems and the potential for unforeseen emergent behavior, how do you envision mitigating the risk of unintended consequences when deploying large language models in such sensitive domains?

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