Unveiling insights: Highlights from our journey at the AMEC 2023 Global Summit!

The AMEC 2023 Global Summit proved to be an exhilarating and enlightening event, delving into the various aspects of media measurement that are shaping the future of the industry. Participating in the 2023 AMEC Summit was a remarkable experience that brought together professionals from diverse industries, igniting engaging conversations about the latest trends and challenges of in the industry. Picture this: lively discussions on topics like decoding WHO communication during the wild COVID-19 ride, unravelling the Qatar controversy’s reputational risks at the World Cup, and much more.  

Amidst the engaging conversations and thought-provoking sessions, one topic that remained a constant highlight was generative AI. As industry leaders in harnessing the potential of this transformative technology, Ninestars took centre stage in exploring the advancements and possibilities it brings to media measurement. Our team was thrilled to be at the helm of these discussions, showcasing our expertise and commitment to staying ahead in the ever-evolving landscape of generative AI. Our CSO Mohan Doshi and Maya Koleva from Commetric held the audience with insights into how #ChatGPT and similar technologies are reshaping the industry. Their presentations merged strategy, technology, and research, demonstrating the transformative potential of generative AI. The discussions continued throughout the event, including a great session with Todd Grossman from Placid Ventures and Geoffrey Sidari from Prosek Partners, delving deeper into the capabilities of generative AI.  

Beyond the riveting agenda, we really appreciated the opportunity to connect with fellow AMEC board members and colleagues. Our vibrant white and orange-themed dinner set the stage for a warm and friendly environment, where ideas flowed freely, and laughter filled the air. It was an evening we won’t soon forget, filled with genuine connections, light-hearted conversations, dancing, and a sense of togetherness that left a lasting impression. 

Looking forward, we eagerly anticipate the AMEC Summit 2024 in our home city, Sofia. We can’t wait to welcome you all to our turf,  and to introducing more of our fantastic team of experts and innovators. 

In summary, the AMEC 2023 Global Summit was an incredible journey. Ninestars brought innovation, positive energy, and our signature flair to the forefront, and our thanks go once again to the AMEC team and all the participants for making it such an inspiring and enjoyable event. 

Exploring the Evolution of AI: From Basic Algorithms to Machine Learning and Beyond

AI is no longer just a concept of science fiction; it is now a reality shaping our lives and the world around us. From early attempts to imitate human reasoning to more sophisticated machine learning processes, it has emerged as one of the most widely applied technological advancements in our time, finding practical applications in almost all industries including banking, healthcare, education, entertainment, gaming, and even art.

In this blog, we will explore the various stages of AI development to understand its evolution over the years and its potential for the future.

Stage 1: Rule-Based Systems (1950s-1980s)

Rule-based systems, the first stage of AI development, included formulating a set of guidelines that an AI system might utilise to make judgements. This strategy was founded on the notion that if a human expert could describe their decision-making process in a particular domain, a computer programme could do the same.

The Dendral project, which got its start in the 1960s, was one of the first instances of rule-based systems. Dendral was a programme created to use mass spectrometry data to infer the structure of unknown organic compounds. Dendral was successful in properly identifying the structure of unidentified compounds by codifying the scientists’ expertise in a set of principles.

Another example of rule-based systems is the MYCIN system, developed in the 1970s, which was designed to diagnose bacterial infections. Approximately 69% of infections could be correctly identified by MYCIN, which was regarded as quite impressive at the time.

Stage 2: Machine Learning (1980s-2010s)

The second stage of AI development was machine learning, which involves developing algorithms that can learn from data. In this method, rules are learned by the computer programme from the data rather than being encoded.

One of the earliest examples of machine learning is the backpropagation algorithm, which was first proposed in the 1980s. Backpropagation is a technique used to train neural networks, which are a type of machine learning algorithm. Neural networks have been utilised for a range of applications, including image identification and natural language processing, since they have the capacity to learn complicated patterns from data.

The IBM Watson system, which became well-known for its performance on the television quiz programme Jeopardy! in 2011, is another illustration of machine learning. With the aid of its extensive knowledge base and analysis of natural language cues, Watson was able to outwit two human champions.

Stage 3: Deep Learning (2010s-present)

The third and current stage of AI development is deep learning, which is a subset of machine learning that uses neural networks with many layers. Deep learning has led to significant advances in AI, particularly in areas such as image and speech recognition.

One of the most famous examples of deep learning is AlphaGo, developed by Google’s DeepMind. AlphaGo is a program that plays the board game Go and was able to defeat the world champion in 2016. AlphaGo used deep learning techniques to analyze millions of past games and develop its own strategies.

Another example of deep learning is GPT-3 (Generative Pre-trained Transformer 3), developed by OpenAI. GPT-3 is a language model that can generate human-like text and is able to perform a variety of natural language processing tasks, including language translation, question answering, and text summarization.

The future of AI is bright, and we’re excited to see where this technology will take us next.

Join Us for the 2023 AMEC Global Summit: The Countdown Begins!

Every year, communicators from across world gather at the AMEC Summit on Measurement and Evaluation, a global showcase for the latest media intelligence, communication trends and analytics. Ninestars is a Gold Sponsor at the upcoming 2023 AMEC Global Summit on Measurement and Evaluation in Miami, Florida from May 15-17.

Ninestars has a strong 6-member delegate team representing us at the event. The team will be glad to share experience and knowledge from some exciting projects we are delivering in areas such as Boolean Search Query Building & Optimization, Training of AI Models, Automation of Content Tagging & Sentiment Analysis, Product/Service/Peer Analysis, Full-Stack Brand Reputation Analysis, and Boolean-based Content Localization. Know more about our services and solutions related to Media Intelligence here.

Moreover, we are excited to showcase our thought leadership in the field by participating in panel discussions and sharing our expertise with other professionals. On May 16, Mohan Doshi, Chief Strategy Officer at Ninestars, will be speaking at a panel on “Generative AI – use cases in communication measurement and evaluation.” Along with co-panelist Maya Koleva of Commetric and panel moderator Richard Bagnall of Carma, Mohan will explore the capabilities of generative AI and transformer deep learning models for tasks relevant to communication research, measurement, and evaluation.

At Ninestars, we have been working with media monitoring organizations for more than two decades, and we understand how the pace of change can be overwhelming. At the same time, technology advancements, especially in the field of Artificial Intelligence (AI), can be a great opportunity for all of us to break new frontiers. Ninestars is at the intersection of technology and content, which gives us a unique perspective on how teams like yours can gain great advantage with AI.

Our team of media intelligence experts will be glad to discuss how we can provide customized media intelligence solutions that meet the unique needs of your organization. We hope to see you and have a great conversation.

See you in Miami!