There’s no denying the immense potential artificial intelligence holds to fundamentally transform how organisations operate and deliver value.
By harnessing advanced AI capabilities, organisations can automate processes at scale, accelerate data-driven decision making, unlock predictive analytics that anticipate future opportunities, and create hyper-personalised customer experiences.
The innovation possibilities AI enables are vast, and many businesses recognise the opportunity. A recent survey found that one third of companies globally plan to spend $25 million on AI in 2025. Ultimately, strategically leveraging AI allows companies to gain crucial competitive advantages around efficiency, growth, and innovation.
It’s these types of opportunities that inspire my passion for empowering highly regulated organisations like government agencies, life sciences providers, manufacturers, financial institutions and others with the ability to capitalise on AI’s potential. These are the institutions that impact hundreds of millions of lives every day, so enhancing their technological capabilities with AI can produce tremendous positive impacts at scale.
However, as transformative as AI’s impact may be, none of it is possible without first ensuring sufficient data preparation for AI. Substandard data quality will invariably lead to substandard AI outcomes. Poor, inaccurate, or incomplete data creates biased, untrustworthy outcomes that produce flawed intelligence.
The Journey Begins with Intelligent Data Preparation
Before any AI or machine learning initiative can be successful and provide accurate, reliable and responsible outputs, the data preparation process driving it must be optimised for peak quality and trustworthiness. However, data preparation for machine learning and other types of AI presents a challenge for many organisations due to the enormous scale and complexity of their hybrid data landscapes.
The majority of an organisation’s information assets exist in fragmented, ungoverned reserves of structured, unstructured and semi-structured data. Particularly challenging are the mountains of unstructured formats like documents, media files, messages and other “dark data” that is essentially invisible and inaccessible through traditional data management practices.
Without proper data preparation tools, these resources remain inaccessible and unusable.
To illuminate these reserves and prepare data for AI consumption, organisations need intelligent data preparation tools powered by the latest innovations, including:
- A combination of AI and machine learning models that automatically discover and classify data across repositories and data structures.
- Natural language processing to interpret semantic context and enrich data understanding.
- AI-driven data quality processes to cleanse, de-risk and deduplicate data to ensure only high-quality data preparation for AI.
EncompaaS: Your AI Force Multiplier
This is where the EncompaaS intelligent information management platform becomes a true force multiplier for generating trusted, high-quality AI use cases.
For example, one global mining and infrastructure solution provider partnered with EncompaaS to address unmanaged data sprawl across 17,000 SharePoint sites. By discovering and rationalising over 13 million items, they reduced storage costs, secured sensitive data, and eliminated redundant content.
This is the power of intelligent data preparation software in action.
The EncompaaS platform enables organisations to harness AI by delivering high-quality data that fuels all AI use cases. Our approach is built on four core pillars:
Discover
The first step in unleashing AI’s potential is knowing where information resides across enterprise repositories. Content cannot be effectively and responsibly managed if its existence is not known. The EncompaaS Connector Framework allows you to connect to a variety of repositories, spanning structured and unstructured data types, making it one of the best data preparation tools available.
Understand
The next step in data preparation for AI is to understand what your information is. This includes the content’s business purpose and relevance. EncompaaS leverages AI and machine learning technologies to determine the “Business Types” and “Perspectives”. Our document cognition capability extracts key metadata from unstructured documents. Through analysis and metadata enrichment, a detailed profile of the content is built and represented facilitating further analysis, insights, governance and use. By enriching data understanding, organisations can ensure effective data preparation for AI and machine learning.
Govern
Once content is discovered and understood, EncompaaS enables automated governance at scale. Content that is managed by EncompaaS will be retained and secured according to the organisation’s business and regulatory requirements, making it one of the best data preparation software options for regulated industries.
With deep understanding of what your content is and key metadata values, allocation of the appropriate retention can be accurately automated through data governance policies.
Use
With the ability to visualise and gain insights into business content across enterprise systems, decisions can be made on how this content may be used in downstream processes to reduce risk or deliver value. Enterprise search, analysis, dashboards and reports enable staff to more easily respond to information requests, support PII initiatives, streamline e-discovery, understand contract obligations, exposure and value. Organisations can also use this normalised, well understood data in other applications as the EncompaaS platform easily integrates with third-party platforms.
Multiply Your AI Success
Ultimately, establishing a disciplined, automated approach to data preparation best practices is essential for transforming AI potential into reality. EncompaaS acts as an AI force multiplier by eliminating the data readiness bottleneck.
With EncompaaS providing a seamless data preparation process, our customers can accelerate credible AI pilots into production far more rapidly, while mitigating risks related to compliance, privacy, or operational disruptions caused by poor data. The path is cleared for responsible, real-world AI deployments that create sustainable competitive advantages.
There’s no question that AI will continue impacting business, industries and society moving forward. EncompaaS ensures organisations are ready to meet this future by turning content chaos into a foundation of high-quality data, empowering them to fully harness AI’s potential.
Jesse Todd
Chief Executive Officer
As always, I would love to hear your thoughts and feel free to reach out to me directly: [email protected]
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