AI STRATEGY & READINESS ASSESSMENT
Introducing DCT Strategy's latest offering
The AI Strategy & Readiness Assessment, a solution tailored to help all businesses get started.
As specialists in AI consulting, we've created this four-stage assessment process to help clients uncover the potential value AI can bring to their present and prospective investments.
In a world where AI is increasingly shaping business growth across a myriad of sectors, it is essential to comprehend its potential value.
AI is transforming businesses, from optimizing operations and decision-making to creating novel revenue streams.
Our AI Strategy & Readiness Assessment:
We assess your company's AI readiness (technical aspect) but also help plan your AI strategy (business aspect), offering a comprehensive approach.
Your business doesn't need to navigate the world of AI alone. Our meticulously designed, high-impact 1-2 week* assessment gives you the keys to unlocking the benefits of AI for your business.
Our AI Assessment is a compact, precise, yet comprehensive service that includes these 4 Stages:
1. IT Infrastructure Evaluation:
We start by examining your existing IT infrastructure to understand its readiness to integrate AI technology.
2. Data Lake Diagnosis:
We dive into your data lake. Our experts will analyze your existing pool of data, assess its quality, structure, and readiness for AI application.
Think of this as the quality of ingredients you’re using in a secret sauce. High quality data is the basis for a superior AI output.
3. AI Opportunity Scan:
We identify key business areas where AI can significantly increase cost savings, boost productivity, enhance revenue generation, and add AI-powered APIs.
4. AI Integration Roadmaps:
Upon completing the assessment, we provide you with a detailed roadmap for AI integration, highlighting the feasible AI opportunities and the steps to achieve them.
Why Choose the AI Assessment?
We conclude with a complete report, providing actionable insights and a clear depiction of your AI readiness status and potential benefits.
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Fast and Efficient: Get a precise overview of your AI Strategy & Readiness and opportunities within 1-2 weeks*.
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Customized Roadmap: We provide an actionable, tailored plan for AI integration, complete with estimated ROI.
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Risk Reduction: Our assessment reduces the risk of failed implementations and prevents unnecessary spending.
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Maximize Potential: Identify the potential of AI in your current setup to drive revenue, enhance productivity, and enable cost savings.
The Outcome: AI Assessment Report
Our report will include the following:
Data Lake Assessment:
Our experts will analyze your existing pool of data, assess its quality, structure, and readiness for AI applications with an action plan for optimization.
AI Opportunities:
Clear, visual identification of potential AI areas with expected ROI.
AI Integration Roadmap:
A guide for implementing AI in your business.
Conclusion and Next Steps:
We summarize our findings and recommendations on next steps.
The report will feature charts and graphs for easy understanding of the data and our recommendations. The visual data will serve as a clear indicator of your readiness for AI integration and the possible benefits of its integration.
With our AI Strategy and Readiness Assessment, stepping into the world of AI is simpler and faster than ever.
Case Studies:
Fraud Detection and Prevention
Challenge
A leading ecommerce company was grappling with significant seller fraud issues, leading to substantial financial losses. Fraudulent patterns were hard to detect due to the vast volume of transactions, leaving the company vulnerable to scams and damaging customer trust.
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Solution
To combat this, we developed a sophisticated AI-powered fraud detection and prevention algorithm. This AI solution was trained to analyze immense volumes of transaction data in real-time. It could identify fraudulent patterns and anomalies that would be nearly impossible for human analysts to detect.
Implementation
The algorithm was seamlessly integrated into the client's existing systems. It began monitoring transactions, constantly learning and improving its fraud detection capabilities with each transaction analyzed.
Impact
The introduction of the AI solution led to a dramatic decrease in seller fraud. By identifying and preventing fraudulent activities, the ecommerce company saved millions, significantly reducing financial losses. The system's accuracy improved with use, providing a robust and scalable solution for fraud detection.
Benefit
The company not only saved money but also significantly enhanced its customers' trust and overall shopping experience. The AI system's ability to identify suspicious transactions meant increased security for both the business and its customers, maintaining customer trust and confidence in the platform.
Sentiment analysis and customer feedback
Challenge
An ecommerce retailer was finding it challenging to understand the sentiments of its vast customer base. With thousands of reviews and social media comments generated daily, the manual analysis was not only laborious but also ineffective in catching the real-time sentiments of customers.
Solution
We developed an AI-powered sentiment analysis system capable of analyzing customer feedback, reviews, and social media data. The system uses natural language processing (NLP) techniques to understand the context and sentiment behind the words used by customers.
Implementation
The AI solution was integrated with the client's review and social media platforms, where it began to analyze customer sentiment continuously and in real time. It was able to categorize sentiments as positive, negative, or neutral, and further break them down into specific emotions or concerns.
Impact
The implementation of this system resulted in the company gaining detailed, real-time insights into customer opinions and preferences. This information helped the ecommerce retailer to identify areas needing improvement, adjust their strategies, enhance product offerings, and improve customer service.
Benefit
By responding proactively to the insights provided by the sentiment analysis, the company was able to improve overall customer satisfaction significantly. This improvement led to increased customer loyalty, a reduction in customer churn, and increased sales.
Predictive Health Analysis
Challenge
Athletes' performance is greatly influenced by their quality of sleep. However, many athletes were suffering from undiagnosed sleep disorders, negatively impacting their performance and overall health. Also, tracking and understanding sleep patterns remained a challenge due to the intrusive nature of traditional sleep-monitoring devices.
Solution
The device was used to monitor athletes' sleep behavior and patterns. An algorithm was developed to stage sleep based on the ECG waves. This information was used to generate personalized recommendations for improving sleep quality, thereby enhancing performance.
Implementation
In collaboration with sleep scientists, the data collected enabled us to identify and diagnose a variety of sleep disorders including sleep apnea, restless leg syndrome, and insomnia. These discoveries led to targeted treatment plan.
Impact
The insights generated by the device and the resulting interventions significantly boosted the performance of the athletes. They experienced better sleep, improved health, and enhanced athletic performance.
Additional Applications
Beyond athletes, the device has proved invaluable for healthcare professionals. It's used for remote monitoring of patients' progress, greatly improving the efficiency of sleep disorder management. This has opened up new avenues in telehealth and remote patient care.
Expertise and Experience:
Our AI Data Scientists have a minimum of 7 years of experience in the field. They have years of experience working for large consulting companies like Kearny, KPMG and many AI companies.
Here are some of the success they have had:
Project
Led the design, development and deployment of a domain-specific Hindi+English Masked Language Model for advanced natural language understanding tasks, including sentiment analysis, intent classification, and named entity recognition, on speech analytics product. Utilized pre-trained BERT architecture embeddings and advanced techniques such as data augmentation, resulting in a MLM with over 95% accuracy on business metrics. Built robust MLOps(LLMops) & data engineering pipeline using AWS services(Lambda and Elastic Computing), Python, Docker, DVC, Mlflow, and Airflow to ensure scalability, efficiency, and security of the product.
Project
Design, development and deployment the research and development of a time series forecasting and single metric anomaly detection system, utilizsing SOTA technologies such as Python, deep learning with RNN and LSTM/GRU, moving average, MongoDB, Elasticsearch, TensorFlow, and Keras. The system enables real-time prediction of metric values and identification of anomalous activity by comparing predicted values to actual values and their standard deviation, resulting in a reduction of up to 50% in false positive alerts, and a cost savings of $120,000 for the client. The system is highly secure and scalable, and also improves the overall org security.
Education and Training the next Generation of Data Scientists:
Not only has our team participated in 100’s of AI projects, they also are involved in the training of students as well. They have trained over 5,000 students in the field of Data Science, which is contributing to the pool of resources that the business world will need to support their projects.