Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
This self-paced workshop teaches an end-to-end computer vision workflow using the latest Intel® technologies and the Intel® Distribution of OpenVINO™ toolkit.
Learn how to:
Use deep learning algorithms that help accelerate smart video applications
Optimize and improve performance with and without external accelerators
Use tools to help you identify the best hardware configuration for your needs
Apply frameworks and topologies supported by the Intel® accelerator tool
Robotic Process Automation (RPA) is helping
companies reduce costs and improve on quality and
productivity by automating some of their most time
consuming, rule-based and replicable business
processes. RPA is especially effective in the banking
and insurance sector where it brings speed and
efficiency to customer service and compliance.
Based on artificial intelligence algorithms, Expert
System’s Cogito cognitive technology enables an
automatic, human-like understanding of the content of
text documents. Applied to RPA, Cogito adds greater
business value and ROI for both repetitive and
complex information-intensive processes.
Using Cogito, companies can expect up to 53%
savings on activities such as FTEs and warranty
management, and cost reductions of 30 to 60% for
email management and quote processing, etc.
As companies increasingly recognize the business implications and
actionable benefits of AI, the question becomes: How will you use AI for your
Thanks to the Cogito platform based on AI algorithms, organizations can
effectively support and improve unstructured information management and
text analytics in order to:
Leverage all information, combining internal knowledge with other
information sources to extract relevant data
Provide effective and real-time insight on strategic initiatives, partners and
any third parties
Mitigate and even completely avoid risks for operations, reputation, etc.
through information analysis and monitoring
Know what competitors are doing and intercept market trends
Implement automation for the broader, more complex set of processes that
Free up teams to focus on more creative or critical activities inside the
See the entire business through a different perspective
Data drives decision making across the enterprise. For sales executives, it’s critical to have
information about where to focus outreach and understand what potential customers are looking
for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to
advanced insights and machine learning that process algorithms and crunch millions of data points,
new purchase patterns and propensity models are emerging to guide sales leaders as to what will
work best for their business.
Read this paper to learn how to act on advanced insight in the sales and marketing process.
The enormous potential of new data tools and analysis
Resources needed to act on the insight
Strategic and operational recommendations