Practice 06
Production, not a proof of concept
Most generative AI work stops at the demo. The difference is where the model runs and whose data it sees. We build on Amazon Bedrock inside your own AWS account, so the knowledge base never leaves it and the thing you approve is the thing that ships.
Amazon BedrockAWS Competency in EducationRuns in your account
Generative Artificial Intelligence
Unlock the Power of Generative AI with Electromech
Global Current State of Generative Artificial Intelligence Solutions
Generative AI has rapidly evolved, becoming a cornerstone of innovation across various industries worldwide. Leveraging advanced algorithms and large language models (LLMs), Generative AI can create new content, such as text, images, and even code, based on the data it has been trained on. This technology is being adopted at an unprecedented pace due to its potential to revolutionize business operations, enhance productivity, and drive significant cost savings.
Key Trends and Developments
Rapid Adoption and Integration
Businesses across the globe are integrating Generative AI into their operations to streamline processes, automate repetitive tasks, and enhance decision-making capabilities. According to a report by McKinsey, AI adoption has more than doubled since 2017, with a significant number of companies using AI in standard business processes .
Diverse Applications
Generative AI is being utilized in various sectors including healthcare, finance, marketing, and manufacturing. In healthcare, for example, AI models are generating synthetic medical data to aid in research and development. In finance, they are being used to create predictive models for market analysis .
Investment and Development
The investment in AI technologies continues to grow. Companies are dedicating substantial resources to the development and deployment of AI solutions. Gartner predicts that global AI software revenue will reach $62.5 billion in 2022, an increase of 21.3% from 2021.
AI in Marketing is transforming how businesses engage with their audience by driving hyper-personalized campaigns, enhancing customer segmentation, and optimizing marketing strategies. At Electromech, our Generative AI solutions harness cutting-edge technologies like AWS’s Large Language Models (LLMs) to analyze and interpret vast datasets, allowing brands to tailor content, predict trends, and improve customer interactions. Our expertise helps marketers create impactful, data-driven campaigns that significantly boost ROI while reducing operational costs. By leveraging AI, we enable smarter marketing strategies that resonate deeply with target audiences, increasing both engagement and conversion.
Why Generative AI is Essential for Organizations
Generative AI is not just a technological advancement but a strategic imperative for organizations aiming to thrive in a highly competitive and rapidly evolving global market.
Enhanced Productivity and Efficiency
Generative AI can automate complex and time-consuming tasks, allowing employees to focus on more strategic activities. This helps in more productivity.
Innovation and Competitive Advantage
Generative AI enables organizations to innovate by creating new products and services, optimizing existing ones, and gaining a competitive edge.
Scaliability
Generative AI solutions can be scaled to meet the growing needs of the business, ensuring that the technology can support expansion and increased demand without compromising on performance.
Data Utilisation
Organizations can leverage their existing data more effectively, gaining actionable insights that can drive better decision-making. This data-driven approach ensures that businesses stay ahead.
Our Approach to Generative AI
At Electromech, we harness the potential of Generative Artificial Intelligence (GEN AI) to transform your business operations. By leveraging private knowledge bases—encompassing documents, databases, images, and videos—our cutting-edge solutions convert this vast data into actionable insights. Our GEN AI services are designed to significantly enhance the output of your company or department, boosting productivity and innovation by 2x to 10x through efficient and cost-effective implementations. We focus on meaningful applications of GEN AI to drive productivity and innovation. Our approach ensures that we tailor our solutions to meet your specific requirements, achieving a perfect balance between optimal outcomes and cost efficiency. Electromech efficiently utilizes AWS Generative AI services, leveraging multiple Large Language Models (LLMs) such as Titan, Claude, Jurassic, Llama, Mistral AI, Stable Diffusion, and custom models. We tailor our solutions to fit customer requirements, ensuring a balance between optimal outcomes and cost efficiency. Our expertise in deploying these diverse models enables us to maximize productivity and innovation while managing costs effectively.
Where it pays
Six problems worth solving this way
Generative AI is worth the money where the bottleneck is reading, writing or finding something. These are the six we have actually been paid to build.
Use case 01
Document generation
Days to hours
Regenerating and validating documents from your own templates and data, with the workflow automated around it rather than bolted on.
Use case 02
Knowledge retrieval
Ask, do not search
Retrieval over your internal knowledge base so staff get an answer with its source, instead of a list of documents to read.
Use case 03
Customer interaction
Support that scales
Assistants, recommendation and targeted campaigns built on your own content, monitored and tuned after launch rather than declared finished.
Use case 04
Content generation
Consistency at volume
Drafting for the channels you publish on, against a content strategy, with performance measured and fed back.
Use case 05
Predictive maintenance
Industrial IoT
Equipment telemetry analysed to detect anomalies and predict failures, integrated with the maintenance system you already run.
Use case 06
Text to report
Ask in plain English
Generative BI over your own databases, turning a plain-language request into a query and a report. Delivered for MavenVista.
Evidence
Three in production, with numbers
Not pilots. These are running, and the customers reported the results.
Infopercept
A serverless retrieval assistant over a fast-growing security knowledge base. Two to ten times the efficiency, reported by the customer.
MavenVista
Text-to-SQL generative BI over their own databases, so a plain-language question returns a report and the data never leaves their account.
Gujarat Technological University
A student-facing assistant over published university content. Roughly a ninety per cent lift in information use.
Our Capabilities
Generative AI Services
Electromech efficiently utilizes AWS Generative AI services, leveraging multiple Large Language Models (LLMs) to deliver top-notch solutions
Our expertise in deploying these diverse models ensures that we can tailor our solutions to fit your unique requirements, maximizing productivity and innovation while managing costs effectively.
How it is built
The stack, named
So you can judge whether we are describing engineering or marketing.
Customer Verticals
We provide our Gen AI Services Across verticals, (Government, Process Industries, Education, Manufacturing, ITES, Marketing, Startups)
Current Datacenter – On-premise / Co-lo / Co-hosting / Cloud
We can carry out Gen AI Implementations for On-prem, Any data centers, Multi Cloud and Hybrid Cloud
We work in Generative AI using AWS services and other Platform providers too. We work with organizations in possession of a Huge Knowledge base or are in need of Generation of new documents or images.
Document Regeneration and Automation
Use Case Streamlining the process of regenerating and validating documents. Benefit Reduces the time from days or months to hours or days. Application Legal Contracts | Compliance Report | Internal Documentation.
- Rapid regeneration and validation of documents using GEN AI technology.
- Customized document templates and automated workflows tailored to your organization’s needs.
- Comprehensive documentation and training to ensure seamless adoption and utilization.
Enhanced Customer Experience
Use Case Utilizing data to provide personalized customer interactions. Benefit Increases customer satisfaction and loyalty. Application Personalized recommendations | customer support chatbot | targeted marketing campaigns.
- Development of personalized customer interaction solutions leveraging GEN AI capabilities.
- Implementation of chatbots, recommendation engines, and targeted marketing campaigns.
- Continuous monitoring and optimization to drive customer satisfaction and retention.
Internal Efficiency Improvement
Use Case Making internal data quickly accessible and actionable. Benefit Enhances employee productivity by providing relevant information instantly. Application Knowledge management systems | internal search engines | automated workflows.
- Deployment of knowledge management systems and internal search engines powered by GEN AI.
- Integration with existing tools and processes to provide quick access to relevant information.
- Training programs for employees to effectively utilize the new systems and workflows.
Content Creation
Use Case Automating the creation of marketing materials, reports, and other content. Benefit Speeds up content production and ensures consistency. Application Social media posts | blog articles | video script | marketing collateral.
- Automated content generation services for various platforms, including social media, blogs, and marketing collateral.
- Content strategy development and implementation to ensure consistency and alignment with business objectives.
- Monitoring and optimization of content performance using analytics and feedback loops.
Predictive Maintenance and Issue Detection in Manufacturing
Use Case Analyzing IIoT data to predict equipment failures and detect issues early. Benefit Minimizes downtime and maintenance costs while increasing operational efficiency. Application Maintenance scheduling | real-time monitoring | fault prediction.
- Implementation of predictive maintenance solutions utilizing IIoT data and GEN AI algorithms.
- Real-time monitoring and analysis of equipment performance to detect anomalies and predict failures.
- Integration with existing maintenance systems for proactive maintenance planning and optimization.
Data Privacy and Security
Use Case Implementing GEN AI with robust data privacy and security measures. Benefit Ensures sensitive information is protected while leveraging AI capabilities. Application Secure AI deployment | data encryption | compliance with data protection regulations.
- Secure deployment of GEN AI solutions with encryption, access controls, and compliance measures.
- Regular audits and assessments to ensure data privacy and security standards are met.
- Training and awareness programs for employees on data protection best practices.
Efficient Utilization of Knowledge Bases
Use Case Optimizing the use of existing knowledge bases. Benefit Ensures valuable information is effectively utilized, improving decision-making. Application Intelligent search engines | context-aware information retrieval | automated knowledge management
- Analysis of existing knowledge bases and workflows to identify areas for optimization.
- Development of context-aware knowledge retrieval systems and recommendation engines.
- Continuous improvement initiatives to maximize the value of organizational knowledge assets.
Key Advantages of Electromech for Gen AI Services
Why Choose Electromech for Gen AI?
Electromech has started multiple POCs with existing customers. Few of them are successfully completed. We have two very good use cases of GEN AI on AWS delivered and have a win note. We are working with a few large GEN AI projects, one of them is in the local Indian Language.
The value proposition of GEN AI for your organization encompasses a comprehensive set of benefits tailored to your specific needs:
Diverse Model Expertise
Our proficiency in multiple LLMs allows us to select and deploy the best model suited to your needs.
Tailored Solutions
We customize our AI solutions to ensure they align perfectly with your business goals and operational requirements.
Cost Management
By optimizing the use of resources and models, we ensure that our AI implementations are both effective and economical.
Accelerated Processes
Gen AI helps in document regeneration and automation, reducing turnaround times from days or months to hours or days.
Enhanced Customer Experience
Personalized interactions powered by GEN AI boost customer satisfaction and loyalty, leading to increased revenue and market share.
Internal Efficiency
Instant access to relevant information improves employee productivity and decision-making, driving operational excellence and cost savings.
Content Creation Efficiency
Automated content generation reduces time and effort spent on content creation, ensuring consistent messaging and freeing up resources for strategic initiatives.
Data Privacy and Security
Implementing GEN AI with robust data privacy and security measures ensures compliance with regulations and protects sensitive information from unauthorized access or exposure.
How we run it
Proof of concept first, always
We have never had a generative AI engagement benefit from skipping this. The point of the POC is to find out whether the idea survives contact with your actual data.
01
Identify the use case
Pick the one where reading, writing or finding is genuinely the bottleneck. Set the measure of success before we build.
02
Prepare the data
Collect, clean and label. This is most of the work, and it is where the POC usually either succeeds or dies.
03
Build and evaluate
Select the model, build retrieval, then measure against a validation set rather than against impressions.
04
Integrate and operate
Into the systems people already use, with monitoring on quality and cost, and updates as the knowledge base grows.
Non-negotiables
What we hold to on every engagement
- Your data stays in your account. The knowledge base is not copied to us, and it is not sent to a third-party model endpoint outside your boundary.
- Encryption and access control. At rest and in transit, with access scoped through IAM rather than shared credentials.
- Compliance reviewed, not assumed. Regular audit and assessment against the standards your industry actually holds you to.
- Cost is a design constraint. Model and retrieval choices are made with the monthly bill in view, because an unaffordable assistant gets switched off.
- Your team is trained on it. So the system survives the end of our engagement.
What backs this
AWS Advanced Tier Services Partner
Member of the AWS Partner Network across multiple partner programs.
AWS Competency in Education
Validated depth in a named solution area.
20+ customer launches on AWS
Production workloads, not proofs of concept.
AWS Hero on the team
Our CEO, Nilesh Vaghela, is active in the AWS community.
Partner Ecosystem
Electromech’s Success Driven by Key Partnerships with Industry Leaders like AWS and Red Hat for Cutting-Edge Application Modernization Solutions
AWS Partner Program
- AWS Competency in Education: Electromech holds an AWS Competency in Education, demonstrating our deep expertise in delivering cloud solutions for educational institutions.
- Partner Programs: We are part of AWS Partner Network (APN) and hold multiple partner programs, enabling us to access exclusive resources and support from AWS.
- Certification Programs: Our team holds over 25+ AWS certifications, ensuring that we have the knowledge and skills to deliver high-quality solutions.
- Customer Launches: We have successfully launched over 20 customer projects on AWS, showcasing our ability to deliver results for our clients.
Red Hat Partnership
- Authorized Training Partner: Electromech is an authorized training partner for Red Hat, offering training courses and certification programs for professionals looking to enhance their skills.
- Introduction of Red Hat to Gujarat: We have played a pivotal role in introducing Red Hat technologies to the state of Gujarat, helping businesses in the region leverage the power of open-source solutions.
Process to Implement Generative AI Solutions
Implementing Generative AI (Gen AI) solutions involves a strategic approach that integrates people, processes, and technology to ensure successful deployment and optimal outcomes. Here’s a detailed look at the best process we use to implement Gen AI solutions:
People: Assemble a Skilled Team
AI Specialists
We hire data scientists, machine learning engineers, and AI researchers who have expertise in Gen AI technologies.
Domain Experts
We include subject matter experts from the industry to provide insights and ensure the AI solutions align with business needs.
Project Managers
We assign experienced project managers to oversee the implementation, ensuring timelines and budgets are adhered to.
Training and Development
Upskill Employees
Provide training programs for existing staff to understand and work with AI technologies.
Continuous Learning
Encourage a culture of continuous learning to keep the team updated with the latest advancements in AI.
Stakeholder Engagement
Communication
Maintain clear communication with all stakeholders to manage expectations and gather feedback.
Collaboration
Foster collaboration between technical teams and business units to ensure the AI solutions address real-world problems effectively.
Process: Define Objectives and Scope
Identify Use Cases
Clearly define the use cases for Gen AI, focusing on areas that can significantly benefit from automation and insights.
Set Goals
Establish clear goals and KPIs to measure the success of the AI implementation.
Data Preparation
Data Collection
Gather relevant data from internal and external sources, ensuring a comprehensive dataset for training AI models.
Data Cleaning
Perform data cleaning and preprocessing to ensure high-quality data is used.
Data Annotation
Label data accurately to train supervised models effectively.
Model Development
Choose Models
Select appropriate generative models (e.g., Titan, Claude, Jurassic, Llama, Mistral AI, Stable Diffusion) based on the use case.
Custom Model Development
Develop custom models tailored to specific business requirements.
Model Training
Train models using the prepared data, utilizing robust training techniques to enhance performance.
Evaluation and Validation
Model Evaluation
Assess model performance using validation datasets and metrics like accuracy, precision, recall, and F1 score.
Iterative Improvement
Refine models iteratively based on evaluation results, optimizing for better performance.
Deployment
Integration
Integrate the AI models into existing business systems and workflows seamlessly.
Monitoring
Implement monitoring systems to track model performance and identify issues in real-time.
Maintenance and Support
Regular Updates
Continuously update models with new data to improve accuracy and relevance.
Support Infrastructure
Establish a support infrastructure to handle any technical issues and provide assistance.
Technology:
Infrastructure
Cloud Services
Utilize cloud platforms (e.g., AWS) to provide scalable and flexible infrastructure for AI development and deployment.
Computing Resources
Ensure access to high-performance computing resources for training complex models.
Tools and Frameworks
AI Frameworks
Leverage advanced AI frameworks and libraries (e.g., TensorFlow, PyTorch) for model development.
Automation Tools
Use automation tools for data processing, model training, and deployment to streamline workflows.
Security and Compliance
Data Security
Implement robust security measures to protect sensitive data during AI implementation.
Compliance
Ensure compliance with industry standards and regulations to maintain data privacy and integrity.
Collaboration Platforms
Version Control
Use version control systems (e.g., Git) to manage code and model versions effectively.
Collaboration Tools
Implement collaboration tools (e.g., JIRA, Confluence) to facilitate teamwork and project management.
By strategically integrating people, processes, and technology, Electromech ensures a holistic and efficient approach to implementing Generative AI solutions. This structured methodology not only drives productivity and innovation but also ensures that the solutions are cost-effective and aligned with the organization’s goals.
FAQs
Frequently Asked Questions
Can You Provide POC for Generative AI?
Yes, Electromech has executed several projects after doing the POC. Do reach out to us to get a POC done for your Use Case
How long does it take to deliver Gen AI Solutions?
A project with a small knowledge base can be completed within 7 days. A complex project with a large knowledge base can take 1 month. A project requiring very complex and custom requirements may take more than a month.
What are good areas to use Gen AI in my Organization?
If you are focusing on customer experience, internal efficiency, content creation, predictive maintenance, these are great areas for use of Gen AI Solutions.There are several other areas you can focus on, do check out our Use Cases section above.
Transform Your Business with Electromech’s GEN AI Solutions
Electromech’s Generative AI services are designed to propel your business into the future, enhancing productivity and fostering innovation. By leveraging advanced AI models and tailoring solutions to your specific needs, we help you unlock new levels of efficiency and effectiveness.
Next step
Bring us the bottleneck, not the technology
The useful first conversation is about which part of your work is slow, not about which model to use. A short call will tell you whether generative AI is even the right tool.