Cybercrime is an exponentially growing threat to the world’s businesses, governments and citizens making sophisticated anti-malware more vital to security than ever. For perpetrators, there is a low risk of prosecution and large potential gain, which doesn’t bode well for victims. Estimates of the annual impact of cybercrime on the global economy reach as high as $600 billion.
A more efficient way to prevent malware is emerging through SparkCognition’s™ cognitive approach, DeepArmor.
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Customer Success Story: Improving Refinery Safety and Efficiency with AI at the Edge
Leading contract manufacturer, Texmark Chemicals Inc., has historically monitored their equipment manually and at high cost. Facing increasing costs and additional safety liabilities from this...
Utilities need to accurately forecast pricing for whole sales and retail markets to provide competitive offerings. Machine learning solutions allow utilities to move beyond the traditional approach.
Use Case: Improving Grid Reliability and Resiliency
The utility sector has already benefited from the use of machine learning by implementing predictive maintenance that predicts failures on critical equipment well in advance.
Maximizing Offshore Oil Well Production
AI is being adopted rapidly in the oil and gas industry due to the significant operational efficiencies it provides to operators through advanced analytics for predictive and prescriptive maintenance.
From hedge fund managers to mutual funds and even private equity managers, alternative data has the power to improve valuation of securities and boost the clarity of the investment process.
Reimagine Offshore Maintenance with AI
The oil and gas industry is a dynamic, ever changing arena. SparkCognition has developed AI-based predictive and prescriptive maintenance solutions to help companies adapt to the age of digitization.
Customer Success Story: Identifying Vane Failure From Combustion Turbine Data
Combustion turbines are the central power-producing asset in a combined-cycle power plant. When a unique combustion turbine vane failure led to a two-month outage and $30M in lost opportunities...
Customer Success Story: Identifying Non-Productive Time and Invisible Lost Time on Oil Rigs
Non-productive time is a great enemy for oil and gas operators. E&P operators need to better categorize and analyze rig activities to track and eliminate non-productive time and invisible lost time.
Case Study: Improving Offshore Production with AI-Based Predictive Analytics
One major oil platform operator was facing recurring failures in production subcomponents that resulted in >10% downtime and millions of dollars of lost production. They employed SparkCognition’s turn
Automating Model Building on the Google Cloud Platform
SparkCognition and Google Cloud Technology have partnered to weave artificial intelligence into the fabric of organizations by expanding the range of applications and tools optimized to run on GCP.
Why Machine Learning is the Future of Predictive Maintenance in Aerospace
Preventing failures and accidents is critical for the aerospace industry. Minor incidents can ground planes for extended periods, and a single day of grounding for a plane costs roughly four to five
The Practical Guide to Industrial AI: Benefits and Implementation