Content Data Science: The Key to Extracting Value from Unstructured Data
Did you enjoy House of Cards on Netflix? The pioneering media company anticipated you would, investing $100 million in the series’ first two seasons based almost entirely on data. Netflix identified that fans of the British version also liked Kevin Spacey and David Fincher’s work. Blending these “ingredients” into the 2013 remake helped deliver one of the studio’s biggest hits. While you may not be in the entertainment industry, a similar approach — using content data science — can guide you in creating content tailored for maximum impact within your organization.
What are the basics you should know about this emerging field? This article outlines what content data science is all about, covering:?
What Is Content Data Science?
Author and entrepreneur Peter Hinssen has recently popularized the term content science, which he defines as “the management of a company’s unstructured data paired with the vast potential of LLM platforms.” He uses the term ‘content’ to refer to unstructured documents or ‘unstructured data’ — such as digital documents, slideshow presentations, emails, images, etc.?
This relatively new field, enabled by the rapidly accelerating capabilities of AI, is particularly exciting because the vast majority — a full 90%, according to an IDC white paper — of most organizations’ data is unstructured. This data is found in a wide variety of content like marketing materials, internal documentation, instruction manuals, images, and videos, to name just a few examples.?
Decision Intelligence: The New Era of Data-Driven Decision-Making
What’s better than making a good decision? Having a reliable process for making more of them in the future. The question is how you would judge whether your process is reliable — or if previous good results were purely due to luck. Decision intelligence can provide the answer. This article explores what decision intelligence is and the foundational data capabilities necessary for achieving it.
What is Decision Intelligence??
Decision intelligence is about leveraging data on how decisions are made to continue improving the decision-making process. It involves turning data into data-driven insights, making decisions with those insights, and understanding how those decisions were made. Essentially, it treats decision-making as a concrete, measurable business process. The goal is to support, automate, and augment human decisions by identifying the "why" behind business performance and using AI-powered insights to make more informed decisions.?
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Decision intelligence is an engineering discipline that augments data science with theory from social science, decision theory, and managerial science. Its application provides a framework for best practices in organizational decision-making and processes for applying computational technologies such as machine learning, natural language processing, reasoning, and semantics at scale.?
The basic idea is that decisions to act are based on our understanding of how these actions will lead to outcomes. Decision intelligence involves analyzing this chain of cause and effect, and decision modeling is a visual language for representing these chains.?
Lingaro: Supporting GCCs with Top Tech Talent in India
In a recent Business Standard interview, Lingaro Group CEO Sam Mantle highlighted the company's strategic focus on India as a key market for growth and innovation as the country's global capacity center (GCC) ecosystem continues to expand.
By 2025, India's GCC ecosystem is projected to include over 1,900 GCCs and have a market size of $60 billion. Lingaro aims to scale up its operations in India to help global companies build out their GCCs there.?
To meet accelerating demand for data services from multinationals with GCCs in the country, Lingaro India has doubled its headcount from 100 to 200 in 2024 and aims to double it again to over 400 in 2025.
Lingaro India's strong and growing team of professionals will continue working closely with their colleagues in other countries, where Lingaro has been successfully maximizing the value of clients' data assets for almost two decades. "The good news is that we have a lot of experience doing exactly this type of work with clients in other parts of the world over the past 17 years," Sam said. A critical aspect of the company's strategy for India is simply demonstrating to local clients its track record and reputation for delivering results. Lingaro is targeting a 30% year-on-year increase in revenue for 2025.?
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