“Artificial” or not: AI provides the key to raising the corporate IQ, by potentially augmenting and reinventing each and every solution in the digital era
No need to race against the machine. Breakthroughs in deep learning and raw computing power are fueling the renaissance of AI and machine intelligence, resulting in spectacular progress in the areas of audio, video, image, and text processing. These are human-like, cognitive capabilities, but AI can also absorb and reason around complex data in unearthly ways, surpassing what the human brain can deal with. As such, the mission of AI is to augment your personal and business world. Add AI to an app, a process, a product, a service, or even a thing, and it will quite likely grow both smarter and better. You decide how fast and to what extent AI will do this. After all, these are still “machines” and they’ll do what you told them.
- Artificial (or machine) intelligence is progressing rapidly due to increased computing power and superior software, notably in the area of neural networks-based deep learning and natural language processing.
- AI is best illustrated by its cognitive capabilities coupled with human-like capabilities such as image and video recognition, language understanding, speech generation, complex text analysis, and conversational capabilities.
- However, AI can also surpass existing (statistics- and algorithms-based) analytics, benefiting from large amounts of training data or even generated, “synthetic” data and “reinforcement learning.”
- Powerful AI capabilities are often only an API call or web service away, increasingly becoming available to the non-data science community, such as application developers and business analysts.
- AI works best by collaborating with humans rather than replacing them; in either case, ethical dilemmas will surface, and non-profit communities such as the Partnership on AI start to address these.
- Capgemini brings more IQ to its own (BPO) business services by combining an automation of process steps with AI-enabled analysis and resolution of service requests. It also uses cognitive capabilities to facilitate complex contract management, optimize people matching for assignments, and drastically speed up testing.
- A large financial clearing house uses cognitive natural language capabilities to turn piles of unstructured financial brochures into 80 well-defined data points; an international bank uses similar capabilities to distill trends and risks from corporate annual reports.
- AI-powered drones combine image recognition and supervised learning to automatically count and control stocks in large warehouses.
- An oil & gas infrastructure manufacturing company combines image classification and sensor data to detect pipeline defects at the earliest stage.
- Cost effectiveness, improved productivity, and higher quality through “smart” automation of human tasks.
- Capturing and leveraging collective knowledge as well as decreasing the dependency on undocumented, individual expertise, and experience.
- Adding “IQ” to products, services, and devices, or even “things,” making them more conversational, accurate and autonomous.
- Modernizing existing IT solutions by adding cognitive capabilities to it, increasing the value delivery to the business.
- Ultimately reimagining entire business models, products and services by taking an “AI-First” perspective.
- AI and machine intelligence platforms
– AWS AI Services, IBM Watson AI, Microsoft AI Services, Google AI, Loop AI Labs, Salesforce Einstein, Oracle Adaptive Intelligent Applications, SAP Leonardo, Dataiku Collaborative Data Science platform, H2O automated machine learning platform, DataRobot automated machine learning, SAS AI Solutions
- AI solutions
- AI (open-source) platforms and communities