Artificial general intelligence (AGI) is the intelligence of a machine that can understand or learn any intellectual task that a human being can. It is a primary goal of some artificial intelligence research and a common topic in science fiction and futures studies. AGI can also be referred to as strong AI,[1][2][3] full AI[4], or general intelligent action.[5] Some authorities emphasize a distinction between strong AI and applied AI[7] (also called narrow AI[2] or weak AI[8][dead link]): the use of software to study or accomplish specific problem solving or reasoning tasks. Weak AI, in contrast to strong AI, does not attempt to perform the full range of human cognitive abilities. As of 2017, over forty organizations were doing research on AGI.[9] Various criteria for intelligence have been proposed (most famously the Turing test) but to date, there is no definition that satisfies everyone.[10] However, there is wide agreement among artificial intelligence researchers that intelligence is required to do the following:[11] Other important capabilities include the ability to sense (e.g. This would include an ability to detect and respond to hazard.[13]

Most large, data-rich companies fail to benefit from information on an enterprise-wide scale because they are not equipped to effectively capture and analyze available data sources. A recent survey from PwC and Iron Mountain found that 57 percent of businesses are unable to extract significant value from their information, and 23 percent are unable to derive any real value at all. Regardless of size, geography or sector, businesses are struggling to fully realize value from their information. To address the trend, CSC has announced the expansion of its strategic alliance with Microsoft through the advancement of Industrial Machine Learning solutions that enable data scientists to produce new data-derived enterprise insights, leading to better and more timely business decisions. "CSC has been working with Microsoft on industry-specific approaches to the problem of creating data science that works," said Dan Hushon, chief technology officer, CSC.

TYSONS, Va.--(BUSINESS WIRE)--CSC (NYSE: CSC) today announced the expansion of its strategic alliance with Microsoft through the advancement of Industrial Machine Learning (IML) solutions that enable data scientists to produce new data-derived enterprise insights, leading to better and more timely business decisions. Most large, data-rich companies fail to benefit from information on an enterprise-wide scale because they are not equipped to effectively capture and analyze available data sources. A recent survey from PwC and Iron Mountain found that 57 percent of businesses are unable to extract significant value from their information, and 23 percent are unable to derive any real value at all. Regardless of size, geography or sector, businesses are struggling to fully realize value from their information. "CSC has been working with Microsoft on industry-specific approaches to the problem of creating data science that works," said Dan Hushon, chief technology officer, CSC.

Data Scientists live and breathe data. We choose the best tools for that task from a vast array of ever changing tools. We turn data into information, information into discovered knowledge, and through wisdom the discovered knowledge is turned into intelligent action. Our tool suites include many open source software products. In this session we will review the foundations for today's Data Scientist's skill set, introducing the concepts behind machine learning, data mining, analytics and data science and the open source tool suite that has served us well over the past two decades.

AAAI is a society devoted to supporting the progress in science, technology and applications of AI. I thought I would use this occasion to share with you some of my thoughts on the recent advances in AI, the insights and theoretical foundations that have emerged out of the past thirty years of stable, sustained, systematic explorations in our field, and the grand challenges motivating the research in our field.