⇲ Plan & Architect
⇲ Design & Build
⇲ Implement & Scale
DATA STRATEGY
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A startup in digital health trained a risk model to open up a robust, precise, and scalable processing pipeline so providers could move faster, and patients could move with confidence after spinal surgery. 
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    ⇲ Dive Into
    PREDICTIVE ANALYTICS
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    Thwart errors, relieve in-take form exhaustion, and build a more accurate data picture for patients in chronic pain? Those who prefer the natural albeit comprehensive path to health and wellness said: sign me up. 
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      MACHINE VISION
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      Using a dynamic machine vision solution for detecting plaques in the carotid artery and providing care teams with rapid answers, saves lives with early disease detection and monitoring. 
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        INTELLIGENT AUTOMATION
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        This global law firm needed to be fast, adaptive, and provide unrivaled client service under pressure, intelligent automation did just that plus it made time for what matters most: meaningful human interactions. 
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          ⇲ Learn
          ⇲ Explore AI Impact
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          Mushrooms, Goats, and Machine Learning: What do they all have in common? You may never know unless you get started exploring the fundamentals of Machine Learning with Dr. Tim Oates, Synaptiq's Chief Data Scientist. You can read and visualize his new book in Python, tinker with inputs, and practice machine learning techniques for free. 
          Start Chapter 1 Now ⇢ 

           
            ⇲ Artificial Intelligence Quotient
            How Should My Company Prioritize AIQ™ Capabilities?

             

               

               

               

              Start With Your AIQ Score

                AI IMPACT ON BUSINESS

                AI is transforming the way businesses operate and helping them to stay competitive in an increasingly digital world. 

                Free Download

                Case Study: Statistical Model Correlates Retail Sales with Market Foot Traffic.

                Ambitious foodservice distributor wanted to upsell their products and provide proactive sales support to partners with outsized demand; predictive analytics to the rescue.

                Download ⇢
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                AI will provide businesses with the resilience to navigate the complexities and weather the storms of a dynamic digital world and remain viable in a constantly evolving landscape.

                Hiring&Performace

                Hiring & Performance
                SecurituOperations

                Security & Operations
                RevenueCapture

                Revenue Capture

                Hiring & Performance Management

                AI is increasingly being used in hiring and performance management to streamline and optimize the process, reduce bias, and make better data-driven decisions. In hiring, AI can help with candidate sourcing, screening, and assessment, while in performance management, they can assist with goal setting, feedback, and evaluation.

                 

                Resume screening

                AI algorithms can quickly scan resumes and applications to identify top candidates based on specific job requirements, skills, and qualifications.


                Video interview analysis

                Machine vision-powered video interview analysis tools can evaluate a candidate's tone of voice, body language, and speech patterns to provide insights into their communication skills and overall suitability for the role.


                Performance evaluations

                AI algorithms can analyze employee performance data, such as productivity metrics, to identify patterns and provide insights into areas where improvements can be made.


                Employee retention

                Predictive analytics tools can analyze employee data to identify factors that contribute to turnover and predict which employees are most likely to leave the organization. This can help employers take proactive steps to retain top talent.

                 

                CASE STUDY

                Best practices surrounding construction projects was locked away inside piles of documents; then AI revealed a new realm of business intelligence capabilities.

                Discover how Synaptiq's technical approach to extracting a knowledge graph from a corpus of unstructured documents involved multiple steps, and best practices of its own.

                Read the Case Study ⇢

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                Security & Operations

                AI has become increasingly important in the field of security and operations, as it provides businesses with powerful tools to monitor, detect and respond to threats, while also optimizing their operations. AI solutions can be used for tasks such as monitoring network traffic, analyzing security logs, and identifying potential security breaches.

                 

                Threat detection

                AI algorithms can be used to analyze patterns in network traffic and identify potential security threats, such as malware, viruses, and other malicious activity.


                Fraud detection

                Predictive analytics can be used to analyze transaction data and identify patterns that may indicate fraudulent activity.


                Predictive maintenance

                AI algorithms can be used to analyze data from sensors and other devices to predict when maintenance is needed on equipment, such as machines and vehicles.


                Supply chain optimization

                AI solutions can be used to optimize supply chain operations, by analyzing data on inventory levels, production schedules, and shipping routes to identify inefficiencies and optimize performance.

                 

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                Data & AI strategy leveraging a growing data asset to launch more engaging and valuable features for their customers.
                Focus: Data Strategy
                Cybersecurity Reporting & Workflow
                ★★★★★
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                Data science on a time-series network and system data to identify patterns and potential security anomalies.
                Focus: Data Science
                US-based Low-Cost Airline
                ★★★★★
                GenioDiligence
                Machine vision to accelerate form processing and automate authorization quality checks.
                Focus: Machine Vision
                BI Security & Compliance
                ★★★★★
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                Revenue Capture

                AI is being increasingly used to help businesses capture revenue by optimizing pricing, reducing costs, and identifying new sales opportunities. By analyzing large amounts of data, AI algorithms can provide insights into customer behavior, market trends, and other factors that impact revenue.

                 

                Dynamic pricing

                AI algorithms can be used to analyze market data and adjust prices in real-time based on supply and demand, maximizing revenue while still maintaining competitive prices.


                Customer segmentation

                AI can be used to segment customers based on their behavior, preferences, and other factors, allowing businesses to target specific groups with personalized marketing and sales messages.


                Sales forecasting

                AI solutions can be used to forecast future sales based on historical data, market trends, and other factors, allowing businesses to plan and allocate resources more effectively.


                Cost optimization

                AI algorithms can be used to identify areas where costs can be reduced, such as by optimizing supply chain operations or reducing waste, allowing businesses to capture more revenue while maintaining profitability.


                Performance evaluations

                AI can be used to identify potential biases in performance evaluations and feedback. This can help ensure that all employees are being evaluated fairly and based on their actual performance, rather than biases or assumptions.
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