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Fortune - 2023
America’s most innovative companies
Implementing Enterprise AI, a strategic approach
While the promise of Enterprise AI is significant, realising it's potential requires a thoughtful and strategic approach. Organizations must align their strategic objectives with the capabilities provided by Wide Data, Discriminative AI, and Generative AI. Furthermore, the right infrastructure, skills and policies must be in place to effectively manage and utilize these tools.
AI
AI
Implementing Enterprise AI, a strategic approach
While the promise of Enterprise AI is significant, realising it's potential requires a thoughtful and strategic approach. Organizations must align their strategic objectives with the capabilities provided by Wide Data, Discriminative AI, and Generative AI. Furthermore, the right infrastructure, skills and policies must be in place to effectively manage and utilize these tools.
Wide Data
Wide Data forms the bedrock of the Enterprise AI solution. Unlike traditional big data, which focuses on volume, Wide Data integrates diversity and veracity along with volume. Wide Data is integrating diverse data sources, providing a comprehensive view of business environments and markets. By aggregating data from various sources - transactional data, customer behaviour, environmental factors, and global trends - businesses can gain a holistic understanding of the dynamics that drive their operations and markets.
Findability Sciences has partnered with Snowflake, IBM C4D, Yellow Brick, Watson Openpages and SAP, in addition to many data suppliers, to support Wide Data implementations.
Generative AI
Generative AI, a ground breaking technology, uses advanced algorithms to create new data that mimics the characteristics of the original data. This ability of Generative AI to produce novel, high-quality data can be instrumental in improving simulation models, creating synthetic datasets, enhancing customer experience, and more. By incorporating Generative AI, Findability Sciences Enterprise AI offering stands at the forefront of innovation, redefining business solutions.
Findability Sciences Generative AI uses foundation models from OpenAI, Microsoft Azure, IBM WatsonX, Hugging Face, Google Bard and LangChain.
Discriminative AI
With a wealth of data collected through Wide Data, Discriminative AI comes into play. This form of AI is adept at identifying patterns and making correlations within complex data sets. It enables businesses to accurately predict market trends, optimise operations, and make strategic, timely decisions, thereby positioning the company for increased success.
Findability Sciences Discriminative AI uses some of these popular algorithms such as Support Vector Machines(SVMs), Logistic Regression, Deep natural Networks(DNNs), Convolutional Neural Networks(CNNs), Random Forest, Gradient Boosting Machines(GBMs), K-nearest neighbours(KNN) and Linear Discriminant Analysis(LDA).
CUPP Framework
- Collection: This involves gathering data from various sources, laying the groundwork for subsequent stages of data processing.
- Unification: In this stage, data from different sources is consolidated and harmonized, ensuring a consistent view of data across the organization.
- Processing: This encompasses the application of AI algorithms to the unified data, gathering actionable insights.
- Presentation: Here, insights are visualized or presented in a format that is easily interpretable by decision-makers, enabling them to leverage the insights effectively.
GRC
The adoption of AI solutions necessitates a robust Governance Framework to ensure data privacy, security and ethical AI usage. Findability Sciences Governance, Risk and Compliance (GRC) Framework takes into account all these aspects, providing a secure environment for Enterprise AI operations. It defines policies and procedures for data access, utilisation and disposal, ensuring compliance with relevant laws and regulations.
Findability Sciences GRC solution is powered by its Discriminative AI and IBM Watson Openpages.
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Discriminative AI
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Findability Sciences leads the shift from traditional automation to AI-powered systems. We use Machine Learning, Natural Language Processing, and Computer Vision, combined with our unique frameworks—Wide Data and CUPP™—to deliver top-notch Discriminative AI Solutions. These solutions are experts at making accurate predictions by analyzing all types of data from various sources. Our AI technology is self-learning and highly accurate, making us stand out in sectors like healthcare, finance, and marketing. Discriminative AI helps businesses spot crucial patterns and opportunities for informed decisions. In a rapidly changing market, our AI solutions guide businesses through big data challenges, ensuring they operate efficiently and accurately.
In today's world, where data is as valuable as oil, advanced Data Management Solutions are essential. As we deal with increasing amounts of diverse data from both internal and external sources, managing it becomes more complex. It's not just about the amount of data, but also its variety. We need to combine structured data, like transaction records, with unstructured data, such as social media posts or customer feedback. Enterprise Data Management Solutions help organize this mix of data. They ensure its quality, security, and compliance while allowing for real-time analysis. This gives businesses a complete view of their operations and customer interactions. In a competitive market, having a solid data management plan isn't just a bonus—it's key to long-term success. It helps businesses remain adaptable, compliant, and driven by data.
Enterprises should consider taking a Foundation Model and fine-tuning it on their organization's custom content for a myriad of compelling reasons. Foremost among these is the promise of heightened privacy and security. When organizations train models on their proprietary data, they retain complete control over data access, ensuring that sensitive information remains confined within the company's infrastructure. This mitigates the risks of data breaches and unauthorized access. Additionally, by customizing a pre-trained model, businesses can tailor its capabilities to align perfectly with specific organizational needs, ensuring the AI solution is uniquely optimized for the company's tasks. This not only delivers better performance and accuracy but also facilitates faster decision-making and reduced overheads. Moreover, building upon a Foundation Model allows businesses to leverage the vast general knowledge embedded within it, while at the same time harnessing the power of customization. This combination ensures both broad-based understanding and niche expertise, offering the best of both worlds.
Findability Sciences revolutionizes Governance, Risk, and Compliance (GRC) with AI-driven solutions, turning these areas into powerful assets that significantly boost business value and Return on Investment (RoI).