Accelerating Innovation into C-Suites of large corporate enterprises..from scratch..no leads. "Special-Ops" role. An extension of your senior management team to close deals with C-Suites. The problem I solve is most technology/solutions providers have no idea how to do this effectively and they mostly follow up on "unqualified leads" never connecting with C-Suites. More importantly, clients lack the skill set to interact with these senior levels while gaining sponsorship to streamline the process through to a transaction. In my model, I become an extension of the client senior management team and am involved with all key steps throughout the entire process while coordinating technical resources when needed. Secure start-up funding (Seed + Series A) with effective long-term revenue plans. Over 20 years of domestic and international sales, strategy, business development and operations experience at venture-backed start-ups. Some start-ups have grown to $100M+ including 2 IPO's and 4 acquisitions while leading operations. Pioneered and scaled multiple disruptive technology and solutions areas that have now become validated markets. Specific areas include AI, deep learning, neural networks, mHealth devices and cloud engagement platforms | Digital health | Big data, analytics | Mobile business and consumer apps | IoT | Medical devices | Enterprise software | Supply chain innovation | Robots | Generated over $100M in new business revenues.

Advisor on practical usage of Machine Learning & AI. I have deep practical experience and also as a business advisor on this topic in my previous career in strategy consulting

I love to help organizations break through the barriers to applying AI and DI in practice. I've been doing this for decades, and have the scars and stories to help you. I have three CS degrees, two TEDx talks, an award-nominated book, and have appeared on CSPAN and NPR. I am recognized by the Women Innovators and Inventors Project. I've delivered machine learning for 30 years: to the Human Genome Project, the Department of Energy, the AO of the US Courts, the CBI, health care startups, NLP projects, and more.

I'm an entrepreneur and coder with experience in marketing (19y), data science (10y) and AI (1.5y). ------ I specialize in: 1. AI apps development (chatbots, content automation, decision making) My tech stack is: Python, OpenAI API (GPT-3.5, GPT-4), LangChain, Pinecone, Flask/Streamlit. 2. Prompt Engineering I've dedicated 800+ hours this year alone writing prompts and teaching it to others. ------ **AI is the new interface to knowledge and technology that makes us humans more productive. I'll teach you how to utilize AI to save time, money and other resources.** Some of my AI work: 1. An LLM app that collects, overviews and asnwers questions about AI news and other AI related content. The tool also creates social media content based on these overviews for me. https://www.youtube.com/watch?v=0fDhtJ8PxLk 2. Prompt Engineering case-study: https://www.notion.so/valueto/Prompt-Engineering-Case-Study-collecting-categorising-and-repurposing-content-by-Tony-AI-Champ-43354a95777a49fb90e1f35c5385ca1d 3. Airi Onboardwell, an AI conversational chatbot. In this instance, Airi is trained on data about a social media role in the company named InsightWhale (that serve web3 clients) to help new employee on this role onboard faster and save InsighWhale 1 salary out of 6 that a company normally spend on onboarding a new employee. You can ask her questions about the role details. Airi is trained the way that if she doesn't know the answer, she will raise the question to the relevant person in the company, get an answer and memorise it so that next time a similar question emerges, she can answer it. https://aiemploy-ee-airi-onboardwell-flask-sg.onrender.com 4. My Udemy prompt engineering course with over 1700 students with an average rating of 4.5/5: https://www.udemy.com/course/chatgpt-for-data-science-and-data-analysis-in-python/

Artificial Intelligence expert, with a focus on Natural Language Processing. 7+ years of R&D in AI. Check out my website http://nikolov.ch/ for more info.

25 years of global technology startup experience. Expertise in video, graphics, machine vision, machine learning, VR, SaaS.

I help DAOs become unicorns (Unicorn Team), startups ship software (Produvia), HNWIs become citizens (Local Team), creators drop NFTs (Phoenix Team)

AI Fintech Consultant | Fintech AI Developer | Quant Analyst - Passionate about research, problem solving and development. Currently managing a small team of talented AI engineers.

Tanvi is experienced data Scientist with 8+ years of experience transforming data into strategic insights. Expert in machine learning, statistical modeling, and customer behavior analysis. Skilled in NLP, deploying Large Language Models (LangChain, Hugging Face), and optimizing AI solutions for business impact. Proficient in Python, SQL, and deep learning, with a strong focus on model fine-tuning, scalable AI deployment, and predictive modeling. Passionate about leveraging data to drive decision-making, building end-to-end AI solutions, and mentoring teams to enhance business outcomes.

Highly skilled ML/DS/AI expert with over 10 years of experience. My expertise includes management of DS/AI teams, implementing complex models (from tabular models to advanced neural network systems), analyzing large datasets and optimizing business processes using advanced technologies.

PhD researcher in AI & Structural Biology at SciLifeLab. Former robotics startup co-founder (Flox Robotics). Specialized in deep learning applications, autonomous systems, protein structure prediction, and strategic project management. Passionate about helping companies achieve technical breakthroughs efficiently.

Expert in Azure architecture, machine learning algorithms (especially neural nets), analytics, Microsoft stack, software development/ engineering. Held numerous tech roles is large companies. Visualization, automation, devops, cloud, data modeling, data processing and ETL.

Founder and President of Abbott Analytics, Inc. Data Mining and Predictive Analytics consultant, trainer, mentor, and conference speaker. Passionate about using data to improve business decisions and efficiency.

Samiur has had an large range of experiences applying Machine Learning and Software to solve problems. At Amazon, he helped to build an internal ML service called Elastic Machine Learning. Samiur then went in the complete opposite direction, going from truly big data volumes to tiny data in embedded systems. He worked on algorithms combining GPS and IMU data in embedded systems such as the Nike Fuelband. He now heads the Machine Learning team at Mattermark to organize the worlds business information, using NLP and ML to structure information found in the web about all the businesses in the world. He is passionate about increasing the accessibility and dissemination of knowledge and information.

Founde, Bunkydoo & Mirrasys. Young Serial Entrepreneur & Startup Enthusiast.

My mission is to create health, abundance and joy by serving others with loving-kindness in deed, word and thought.

I started in machine learning in 1992. My doctoral research was on building simple and fast neural nets comprising discrete weights. Later, I was fortunate to work on building intelligent systems for a major US airline and a well-known auto parts supplier. Both of those systems were to be built using neural nets, but I found easier, more dependable ways of achieving the desired result. I have mostly worked in universities. My industry stints include being CTO of a brokerage company; CEO of two startups; consultant for software process improvement; industrial controls engineer. I started my career as an accelerometer-systems engineer in the Silicon Valley. Currently, I am a machine learning/predictive analytics researcher. I am always on the lookout for early-stage investment/advising opportunities in machine learning.

Learn how to systematically reduce the risk of errors, find the exact data leaks in your data system, connect the data flow, data privacy, security framework and save time for optimal clients care … Learn how to reduce the risk of errors by 80%, connect all of your clients data, ensure safe data transfer, and use the power of artificial intelligence to make the best decisions for your clients and optimize your revenue!