Darwin Ecosystem is an IBM Partner leveraging Big Data and Cognitive Computing technologies to improve awareness and discovery through advanced analytics and pattern detection services. Since 2007, we have been recognized as innovators, with tools that help businesses gain insight from data. We are constantly engaging in collaborative research initiatives to meet emerging challenges for individuals, enterprise and government.
We offer solutions based on our Application Program Interfaces (APIs), capable of fetching, correlating, detecting and curating large amounts of unstructured information streams. That means we can analyse your company's masses of information any way you can think of.
We work with select companies seeking to explore and access their data archives, in the most natural way possible, to propel enterprise, widen awareness and simplify discovery.
Our research mission is grounded on the postulate that technological advancement in the field of interactive cognitive computing can be improved through the use of chaos theory mathematical principles, revealing patterns, and the algorithmic deep learning methods inspired by inherent cognitive capabilities - not exclusive to human inference.
To keep up with the latest in Darwin Ecosystem, AI innovation, IBM Bluemix and Watson, and how you might become a cognitive business:
"The question of whether a computer can think is no more interesting than the question of whether a submarine can swim."
“Everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide”
"The deep paradox uncovered by AI research: the only way to deal efficiently with very complex problems is to move away from pure logic.... Most of the time, reaching the right decision requires little reasoning.... Expert systems are, thus, not about reasoning: they are about knowing."
"An important concept both in Artificial Life and in Artificial Intelligence is that of a genetic algorithm (GA). GAs employ methods analogous to the processes of natural evolution in order to produce successive generations of software entities that are increasingly fit for their intended purpose."