Energy and utility organizations operate within dangerous environments, volatile markets, under intense public scrutiny utilizing incredibly intricate technology. Remaining competitive and increasing profits demands end-to-end optimization, operational reliability, and increased safety. Accrete AI can bring together up, mid, or down-stream data in order to boost analytical productivity for deeper insights, improved efficiencies, and increased profits.
Outages are complicated; highly-skilled engineers complete mundane repetitive administrative work in order to schedule tens-of-thousands of tasks for a single planned outage. Using continuous dynamic learning, machines can analyze outage schedules to determine task relationships, while factoring for individual plant needs. Engineers can use predictive scheduling to optimize personnel deployment, determine the root cause of failures, and mitigate operational risk. Make well-informed scheduling decisions, increase quality assurance, and lessen duration extensions.
It's 6X more expensive to win a new customer than retain an existing one. Understanding changing needs and intelligently prioritizing clients is an industry-wide problem. Capture all types of interactions, blend new sources of data, and build individual behavioral models to better score customers on their likelihood to switch providers. Empower Customer Success Agents to improve customer retention with contextual insights that proactively lower churn.
When production is operating below its expected potential, there is immediate room to improve process and productivity. Blend upstream, midstream, and downstream data with other elemental data using a specialized AI to identify hidden features to manage equipment integrity. Engineers and Operators can visually inspect the network, monitor effectiveness, and generate predictive maintenance schedules. Boost workforce analytical productivity to raise production potential and positively impact the bottom line.
Multinational energy corporations operate in a variety of environments, each site presents unique hazards and has to adhere to local regulations. Autonomously monitor video feeds and detect hazardous events using real-time image analysis. Health and Safety Officers can pro-actively remain vigilant, increase safety efficacy, and remotely mitigate risk.
Accrete has built an AI that allows CEOs, CFOs, and the investor relations department of a major energy firm to A/B test various versions of prepared remarks, corporate filings, and other shareholder updates before delivering them to optimize market impact. The model has learned to understand the nuanced language of the energy industry and can co ruinously read, understand and learn with human-level accuracy. Due to its ability to constantly read and comprehend hundreds of thousands of earnings call transcripts, the machine has learned to parse language into granular industry-specific topics, gauge sentiment shifts in those topics over time and detect anomalies in topical sentiment across sectors and industries. As a result, the model can predict how a particular shareholder update is likely to be received by the market, providing corporate executives a significant advantage over competitors.
The Accrete architecture is purposely designed to enable the rapid development of robust enterprise AI solutions. We have developed core ‘knowledge functions’ that can be interconnected to automate analytical tasks with human-like accuracy. Accrete licenses applications that are continuously learning and adapting to dynamic environments. By scaling human expertise and adapting to dynamic information, we can provide accurate predictions needed for important decision making.