Big tech companies are pouring tens of billions of dollars into research on artificial intelligence; how can small startups hope to leverage AI to compete effectively?
A survey conducted by the Harvard Business Review shows a competitive market for startups, but also a market that is restricted in some important ways.
Large tech firms have several advantages over startups: they can invest huge sums into R&D, they have access to large amounts of data, and they have complementary assets and established markets. However, it is not the quantity of the data, but how a company uses it, that provides the competitive advantage; thus, startups utilizing AI can compete with larger companies even without enormous data sets and billions of dollars to work with.
theDevMasters will be providing a workshop on how to scale your startup utilizing AI, deep learning, and data driven decision making.
Arshad has Bachelor in Engineering (Computer Science ) with a concentration in Artificial intelligence. He has MIT professional Education into Data Science & Machine Learning. He has worked and consulted for fortune 500 companies such as JAG, Yahoo, and Bank of America for more than a decade. As a graduate from MIT he's also part of MIT Sloan Executive Education - Management & Leadership in Artificial Intelligence for business. He has devoted himself to a global cause of improving human life through education using artificial intelligence, Improving and fine-tuning skill sets for superior rapid problem-solving skills for entrepreneurs. He is the founder for sports data science platform eSportsDNA. He has been CTO for various software companies like cumulus data and co-credits. He is now a Founder Chief Scientist at theDevMasters.
Zia earned Master of Science, Computer Science, and a MBA from Preston University. As the Senior Data Scientist at theDevMasters he is the leading consultant for businesses and individuals. He advises and helps customers develop solutions for their business challenges using system analysis, data analytics, machine learning, natural language processing, and deep learning. Working with companies to implement recommender systems and NLP projects including chatbots. Implemented solutions based on python machine learning libraries i.e. Sklearn, pandas, keras and tensor flow. He joined theDevMasters from Bell Canada after 12+ years as a cloud architect.