Analytics and Artificial Intelligence

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Elevate Your Business with Cutting-Edge Analytics and Artificial Intelligence (AI) Solutions from Gislen Software

At Gislen Software, we recognise the critical importance of advanced analytics and Artificial Intelligence in driving the growth and transformation of modern businesses. Strategically applying these technologies can distinguish your enterprise in an ever-changing digital landscape. Whether you aim to enhance your current data-driven strategies or develop a comprehensive framework from the ground up, our team of experienced data scientists and AI experts is ready to assist you in problem-solving, planning, customising, deploying, and managing your initiatives, ensuring they align perfectly with your business goals.

Tailored Solutions for Optimal Results

We focus on adapting proven technologies to solve your specific business challenges. We aim to help you use data and automation to make better decisions and work more efficiently. Whether it’s developing tailored models or adding advanced features, our flexible approach offers solutions that meet your needs today and can easily grow and adapt for the future.

Comprehensive Analytics and Artificial Intelligence Customised for Your Needs

We’re not just here to help you pick the right tools and models. We’re here to fully support you in handling the challenges that come with setting up complex systems. Our support includes:

  • Ensuring the timely delivery of Big Data projects to prevent disruptions
  • Managing budgets effectively to avoid cost overruns and ensure high-quality insights
  • Aligning Artificial Intelligence and analytics initiatives with overarching business goals for seamless integration and maximum impact
  • Facilitating the integration of new Big Data solutions with existing business systems for a smooth transition and enhanced decision-making capabilities

Leading Innovation

As you seek to unlock new opportunities or refine your operational intelligence, Gislen Software can be your innovation partner. While we might not be developing self-driving cars (yet!), we can help you to steer your digital transformation journey. We begin with an in-depth analysis of your needs, followed by the strategic development of unique solutions, ensuring your journey is successful and sustainable.

Start your Big Data journey with our team at Gislen Software. Discover how our custom solutions can empower your business with the insights driving increased efficiency and control needed to excel in today’s competitive landscape. Let us transform your vision into reality, supporting growth and innovation. We are looking forward to jointly building solutions that perform tasks using AI-capable frameworks and technologies.

Different Technologies and Platforms for Analytics and Artificial Intelligence

Various platforms and technologies are available for businesses to enhance their analytics and Artificial Intelligence capabilities. Each tool or platform offers unique features suited to different needs and levels of AI technologies and technical expertise.

Commercial General AI platforms

Key Technologies and Platforms for Businesses wanting to use Artificial Intelligence and Analytics:

  • IBM Watson:  IBM Watson is a platform including loads of AI tools. It is known for its natural language processing and machine learning capabilities. It is a good option for businesses that want to add advanced AI features to their operations.
  • Google Cloud AI and Analytics: Google Cloud includes range of tools for Artificial Intelligence and Analytics. These include data storage, data processing, machine learning, and predictive analytics. The platform is designed to be scalable and easy to use, making it a good choice for businesses at any stage of their AI journey.
  • Microsoft Azure AI: Azure offers various Artificial Intelligence services; including machine learning, cognitive services, computer vision, and knowledge mining. An added advantage is its excellent integrations with existing Microsoft products and services, making it an easy choice for businesses already using the Microsoft ecosystem.
  • Amazon Web Services (AWS) Analytics and AI: AWS provides a number of Artificial Intelligence services, from data lakes and real-time analytics to machine learning and AI services. Its scalability and flexibility suit businesses looking to leverage cloud-based solutions.
  • Tableau: For businesses focused on data visualisation and business intelligence, Tableau offers powerful tools to transform data into actionable insights through interactive dashboards and reports.
  • Microsoft Power BI is a comprehensive business analytics tool that enables users to visualise data, share insights across an organisation, or embed them in an app or website. Power BI integrates with various data sources, providing interactive dashboards and reports that offer deep insights and drive business decisions. Its user-friendly interface and powerful data manipulation capabilities make it accessible for non-technical users and robust enough for advanced data analysis.
Open Source Libraries and Frameworks

Many open source tools, frameworks and languages are comprehensive and continuously evolving.

  • TensorFlow: Developed by Google, TensorFlow is a comprehensive, open-source machine learning framework that helps in the development of complex neural networks, supporting both research and production.
  • Apache Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale from single servers to thousands of machines, each offering local computation and storage.
  • Scikit-learn: Built on NumPy, SciPy, and matplotlib, this Python module is known for its simplicity and accessibility. It offers a range of supervised and unsupervised learning algorithms via a consistent interface.
  • Apache Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. It’s known for its speed and ease of handling Big Data systems.
  • Theano: Montreal Institute for Learning Algorithms (MILA) at the Université de Montréal, Theano has been widely used in deep learning for its ability to leverage GPUs’ power, significantly speeding up computations. Theano is an open-source Python library for efficient mathematical computations, particularly multi-dimensional arrays. It excels in deep learning applications by leveraging GPU acceleration for faster processing.
  • Keras: An open-source neural network library in Python designed to enable fast experimentation with deep neural networks. It is configurable and extends TensorFlow and Theano.
  • PyTorch: Developed by Facebook’s AI Research lab, PyTorch is an open-source machine learning library based on the Torch library, widely used for applications such as natural language processing.
  • R: A programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. It’s widely used among statisticians and data miners.
  • Elasticsearch is a distributed, RESTful search and analytics engine that addresses many use cases. It’s known for its powerful full-text search, scalability, and real-time analytics.
Generative Pre-trained Transformers (GPT)

The newest and most talked-about type of AI is now readily available. Open AI’s innovative GPT technology is also now available over an API. Advanced support bots can be built by training a database with material about your company and products.

  • OpenaiAI’s GPT: Perhaps the most well-known in this category, Openai offers API access to GPT, helping developers use its advanced text generation and understanding capabilities for various applications, including chatbots, content generation, and complex data analysis tasks. The versatility of the different GPT and large-scale models offers nuanced and contextually relevant text generation, making it a popular choice for businesses seeking to enhance their offerings with cutting-edge AI.
  • AI21 Labs’ Jurassic-1: AI21 Labs offers Jurassic-1, a large language model that rivals GPT regarding capabilities and scale. Their API allows developers to integrate sophisticated natural language processing features into various applications to improve user engagement and automate content-related tasks.
  • Hugging Face’s Inference API: Hugging Face provides an Inference API that gives developers access to many pre-trained models, including variants of GPT and other transformer-based models. This API facilitates easy integration of natural language understanding and generation into applications, enabling several use cases from sentiment analysis to text completion and translation.
  • Cohere’s Platform: Cohere offers a platform that allows businesses to harness the power of large language models for text generation, classification, and summarisation. TWith Cohere’s API, developers can get access to their capabilities and use them in their own applications, in order to enhance user experiences with natural language capabilities.
  • IBM Watson: IBM Watson provides a suite of services, including natural language processing capabilities that can be integrated via API. While not exclusively based on GPT, Watson’s services include features like language understanding, conversation, and text generation, which leverage similar underlying technologies.
Open Source technologies for Generative Pre-trained Transformers (GPT)

Open-source Artificial Intelligence technologies related to GPT and natural language processing have become increasingly important in the AI community.

  • GPT-Neo and GPT-NeoX: Developed by EleutherAI, GPT-Neo and GPT-NeoX are open-source alternatives to OpenAI’s GPT models. GPT-Neo aims to replicate the capabilities of GPT-3 through distributed volunteer computing, while GPT-NeoX is a further development that focuses on scaling up the architecture and training process.
  • Hugging Face’s Transformers: This library offers several pre-trained models for natural language understanding (NLU) and natural language generation (NLG), including GPT and its variants. It provides an easy-to-use interface for working with these models and is highly regarded for its extensive documentation and community support.
  • OpenNMT: An open-source ecosystem for neural machine translation and neural sequence learning. Started as a collaborative project between Harvard NLP and SYSTRAN, it provides implementations in TensorFlow and PyTorch, supporting GPT-like models for translation and language tasks.
  • Fairseq: Developed by Facebook AI Research (FAIR), Fairseq is a sequence-to-sequence learning toolkit that allows researchers and developers to train custom models for translation, summarisation, language modelling, and other text generation tasks. It supports various models, including transformer models similar to GPT.
  • PaddleNLP: Developed by Baidu, PaddleNLP is part of the PaddlePaddle deep learning platform. It provides a wide range of pre-trained models, including language models like GPT, for various NLP tasks. PaddleNLP aims to make it easier for developers to apply these models in different applications.
  • Tensor2Tensor: Created by Google Brain, Tensor2Tensor provides a library of deep learning models and datasets designed to make it easier to train and deploy machine learning models. While initially focused on translation, it now includes a variety of models, including those related to GPT, for different tasks.
  • Marian NMT: An efficient and self-contained Neural Machine Translation framework emphasising speed and efficiency. While primarily focused on translation, its architecture supports custom models and training approaches, including transformer-based models like GPT.
  • Whisper: Developed by OpenAI, Whisper is an open-source deep learning model for automatic speech recognition (ASR). It is excellent at transcribing spoken language into text. It can handle various languages and audio conditions, making it a flexible tool for applications requiring speech-to-text capabilities.

These open-source technologies provide a solid foundation for exploring and developing advanced Natural Language Processing (NLP) models, e.g. models that work directly with human languages, including those based on the GPT architecture. They enable researchers, developers, and companies to innovate and apply state-of-the-art NLP techniques in various applications and services.

Strategic Framework for Analytics and Artificial Intelligence Solutions

Our methodology for developing artificial intelligence solutions is founded on a collaborative and consultative approach, beginning with a thorough discussion to properly understand the distinct parts of your business and its objectives in leveraging data and Artificial Intelligence. We always review these setups and their integration within business processes for clients with pre-existing systems. This examination allows us to uncover paths for enhancement and identify any technical or strategic hurdles that may affect your effectiveness. With these insights, we formulate bespoke strategies that align with your business objectives and the nuanced requirements of data-driven decision-making, to ensure the application of AI and Analytics we build is optimal for your business needs.

When starting a new project or significantly changing an existing framework, our commitment is to partner with you to ensure we satisfy your vision and needs. We are committed to walking alongside you at every stage, from the foundational idea to deploying your system, guaranteeing a seamless and fruitful journey towards achieving your data-driven goals.

Analytics and AI Strategy

  • Personalised Data Analysis: We examine your business’s unique environment and develop bespoke solutions tailored to meet your strategic objectives.
  • Interactive Prototyping: Together with your team, we develop prototypes that reduce risks and help to showcase the potential of your data-driven decision-making processes.
  • Scalable Infrastructure: We architect adaptable, high-performance platforms that scale with your business. Whether you’re coping with sudden traffic surges or steadily increasing data volumes, our cloud-native solutions spin up additional capacity in seconds. Automated scaling rules, real-time monitoring and resilient fail-over mechanisms mean you’ll never be caught out by unexpected demand—your systems keep pace with you.
  • Detailed Technical Design: We immerse ourselves in your objectives, drawing up tailored blueprints that bridge the gap between ambition and execution. From interactive prototypes to fully fleshed-out architecture diagrams, every element is chosen to maximise usability, maintainability and insight. By blending best-practice engineering with iterative feedback sessions, we deliver solutions that seamlessly integrate into your existing environment, providing precise and actionable data exactly when you need it.
  • Quality Assurance: Our testers employ both manual and automated testing to ensure that implementations meet and exceed objectives and quality standards, providing accurate and actionable insights.

Analytics and AI Integration

  • Business and Analytics in Harmony: We tailor our solutions to your objectives, empowering you to make smarter decisions and streamline operations..
  • Custom Technical Solutions: Our solutions are specifically designed to address the unique challenges of your organisation, ensure optimal performance, and seamlessly integrate with existing systems.
  • Reliable Support: Our support strategies are designed to ensure the continuous and effective operation of your systems.
  • Stakeholder Collaboration: We communicate clearly with all stakeholders to ensure that the solutions are fully integrated with business objectives.
  • Comprehensive Data Integration: We bring together data from every corner of your organisation—CRM, ERP, IoT feeds, social channels and beyond—into a single, coherent platform. Our staff develop robust pipelines and custom connectors, ensuring that information flows securely and accurately through your systems. By harmonising different sources in real-time, we provide you with a 360° view of your operations and customers. That unified perspective drives better analysis, uncovers hidden correlations and empowers your teams to act on trusted insights.

Management of Analytics and Artificial Intelligence

  • Adaptive Development: We utilise agile methodologies to ensure that we remain responsive to your evolving needs, ensuring that as your business grows, our systems grow in tandem with your company.
  • Compliance with Data Standards: e build every solution with privacy and security at its core, fully aligning with GDPR, NIS2, DORA and ISO 27000 requirements. From encrypted data stores and rigorous access controls to comprehensive audit trails and regular third-party assessments, you can trust our platforms to meet—and often exceed—the strictest international regulations.
  • Proactive Maintenance: Even after your system goes live, we can help you. We can monitor everything with routine checks and regular updates, ensuring your platform remains stable and secure.

Our Data Scientists and Artificial Intelligence Specialists understand the intricate balance between analytics insights and artificial intelligence opportunities. Based in Chennai, India, with European subsidiaries, we are deeply committed to serving our UK and Swedish clientele with a passion for excellence. We bring years of expertise guiding organisations through significant digital and AI-driven transformations.

We don’t just want to help you pick the right tools and models. Rather we are here to fully support you in handling the challenges that come with setting up complex systems. Our support includes::

  • Custom Model Development and Integration: We build models that suit your business and connect them smoothly with your existing systems, helping you get better insights and automate processes.
  • Managing budgets effectively to avoid cost overruns and ensure high-quality insights
  • Aligning Artificial Intelligence and analytics initiatives with overarching business goals for seamless integration and maximum impact
  • Facilitating the integration of new Big Data solutions with existing business systems for a smooth transition and enhanced decision-making capabilities

At Gislen Software, we see our clients as partners in innovation, working together to develop custom solutions that propel digital transformation and drive business success.

Contact us to discuss how we can help you