Gender balance in AI conference line-ups has been noticeably poor. But women in AI exist and their work is multifaceted and extraordinary. Artificial intelligence (AI) is the hot ticket in tech at the moment. Unfortunately, too many events and conferences delving into the subject, and its related disciplines of machine learning (ML) and data science, feature few women – if at all – among their speakers. To prove it doesn't have to be like this, and as a follow-on from International Women's Day, we at Silicon Republic have found 20 terrific women in AI, ML and data science who we think should be turning up in speaker line-ups across the country (and around the world).

Foley Hoag is in the Seaport West building (155 Seaport Blvd, Boston, MA - main entrance is on B Street).

How important is it to have a mentor? Sources suggest that mentorship in general can have a large affect on careers, improving key skills, providing a different perspective & allowing for impartial advice among other things. Another key consideration, especially when starting your career, is that there have been many in your shoes with similar experiences whose advice is the result of experience. Whilst the necessary theoretical skills can be developed during study and education, the saturated nature of the Data Science market has resulted in the need to'stand out', which can be tough unless under the mentorship or guidance of someone who'knows what they're doing'. The growth in AI focussed roles in recent years has also resulted in great competition for mentors, most of whom will also be busy with other work or simply uninterested in mentorship.

When we talk about impressive strides in AI development, there is no way we would miss the big players like the United States and China or companies like Google, Baidu, Amazon and Microsoft. Home to significant investments, cutting edge research, top talent and thriving ecosystems, pushed forward and nourished by the greatest leaders in the industry – these regions serve as the epicentre of the buzz. Yet, while focusing on the mainstream hype, we risk missing the significant leaps being taken in other parts of the world. Zooming into the Northern corner of Europe, we in fact see notable AI initiatives and strong determination to catch up in the race. The Estonia-based team behind North Star AI – a top talent community for engineers and data scientists – has taken note of its surrounding regional potential and is now leading the way in bringing Nordic AI cooperation to the next level.

The S.A.R.I., an acronym which stands for Automatic Image Recognition System, is a new system available to the State Police to counter criminal activity; exploiting the A.F.I.S. system, Automated Fingerprint Identification System which collects the fingerprints, personal data, photographs and biometric notations of the subjects under investigation, law enforcement agencies can count on an identification system with a database of more than 10 million data; in this way those who stain a crime can be identified more quickly and efficiently. In the United States, another system is used, the C.O.M.P.A.S. (Correctional Offender Management Profiling for Alternative Sanctions), which is an algorithm used by judges to calculate the probability of recidivism within two years of a crime. These are two concrete and recent examples of Artificial Intelligence. Artificial Intelligence, for Stuart Russell and Peter Norvig, authors of "Artificial Intelligence: A Modern Approach, Global Edition", means a "field of studies in which intelligent agents are designed and built". What would be the etymological meaning of the term?

The S.A.R.I., an acronym which stands for Automatic Image Recognition System, is a new system available to the State Police to counter criminal activity; exploiting the A.F.I.S. system, Automated Fingerprint Identification System which collects the fingerprints, personal data, photographs and biometric notations of the subjects under investigation, law enforcement agencies can count on an identification system with a database of more than 10 million data; in this way those who stain a crime can be identified more quickly and efficiently. In the United States, another system is used, the C.O.M.P.A.S. (Correctional Offender Management Profiling for Alternative Sanctions), which is an algorithm used by judges to calculate the probability of recidivism within two years of a crime. These are two concrete and recent examples of Artificial Intelligence. Artificial Intelligence, for Stuart Russell and Peter Norvig, authors of "Artificial Intelligence: A Modern Approach, Global Edition", means a "field of studies in which intelligent agents are designed and built". What would be the etymological meaning of the term?

Curious how deep learning solutions are affecting your industry? On Wednesday, March 18th, join Upward, Connecticut Center for Advanced Technology (CCAT), and Connecticut Technology Council (CTC) for Hartford's first "teCTalk" focused on artificial intelligence/machine learning. Learn how machines are being taught to interact with the organic world around them and how this smart technology is working to elevate modern business. An esteemed panel of AI/ML experts across industries, including Upward Citizens GalaxE Solutions, VAANGO, and Saya Life, will navigate participants through the complex topic of deep learning. This event is designed to be interactive: pose your questions to the experts and engage with others in the crowd!

What do we need to consider about a future where artificial intelligence (AI) and tech have transformed the way we live? That was exactly what we pondered when I recently spoke with Jamie Susskind, barrister, speaker and award-winning author of Future Politics: Living Together in a World Transformed by Tech. Digitization is challenging the way we live. These changes create conveniences and ways of problem-solving that were never possible before. Along with the positives, there are also challenges that need to be overcome.

Complia Health Leads in Personal Care EHR Solutions in Ohio With Its Mobile Home Care Solution, Continulink Mobile Edge, an Approved Third-Party EVV Vendor for the State of Ohio. The Ohio Department of Medicaid has approved Complia Health, a national leader in software solutions for the pre- and post-acute care market, as a certified third-party Electronic Visit Verification (EVV) vendor in the state of Ohio. Complia Health's ContinuLink Mobile Edge application is a fully integrated EVV, scheduling, and billing EHR solution for personal care and home health. ContinuLink Mobile Edge provides real-time EVV communication, location accuracy, and care planning using innovative technology that makes the caregiver experience simple and straightforward. The Ohio EVV alternate vendor certification is part of the federal mandate that requires each state to be compliant with the Cures Act.

Artificial intelligence and machine learning have become widely discussed topics in the area of life sciences and healthcare over the last several years and the excitement keeps growing. While a lot of pharmaceutical companies and healthcare organizations express considerable interest in possible new opportunities, associated with the use of artificial intelligence for early drug discovery, clinical trial optimization, and business intelligence, a considerable gap still exists when it comes to understanding new technologies and identifying the impacts of AI in the progress level of drug delivery and development by pharmaceutical professionals and leaders. As clinical failure rates remain unsustainable and the vast amounts of patient data increases further, AI, data and clinical development and drug discovery experts from across large pharmaceutical and biotechnology industries are concerned to discover the growing practical applications of AI and ML for drug discovery and development. Artificial Intelligence and Machine Learning for Advanced Drug Discovery & Development Forum will bring together global pharmaceutical industry leaders to exchange experience and share the latest discoveries using artificial intelligence (AI) and machine learning (ML) to enhance service delivery level in health-related industries and pharmaceutical industries. During this two day session, senior executives, experts, and business professionals will join in-depth panel discussions, view practical case studies, attend interactive sessions, and participate in development workshops.