JUNE 2020CIOAPPLICATIONSEUROPE.COM 19Our specific focus upon financial and financial services within the healthcare industry has impacted healthcare finances in a positive wayaccuracy and efficiency, along with our consultative element of the solution whereby clients can tap into our resourcing and experience," states Beechinor. This consultative approach allows Altada to engage subject-matter experts in the client organisation and help them identify the use cases and the challenges that they are trying to resolve. "We assist them in identifying the use cases that will be more impactful, pertinent and relevant to their organisation and help them boost their ROI. We discern the areas where it is practical that machine learning could have a positive impact," he adds. The team at Altada walks that extra mile to understand the movement of data. The company's workflow-driven environment helps teams to assess the efficiency of a certain process. Based on this, experts can identify informal links by evaluating unstructured metadata and data. For instance, if an office email is sent to different locations informally, or documents are copied, Altada can delve deeper in terms of the information flow, apply use cases accordingly. In essence, the company is capable of identifying gaps in datasets, along with missing documentation and the movement of data in a workflow, in case a client has conducted due diligence on information as an integral part of their core business.What makes Altada truly a class apart is its focus on putting a human in the loop in the early stages of AI modelling. With an aim to address the lack of resourcing and the talent gap in organisations, Altada allows them to leverage a "human + machine" approach to problem-solving for greater early accuracy, which can then be exploited by self-learning techniques. "It's not just the procurement of an application. We believe in a more interactive engagement and achieve the stature of a trusted advisor," states Beechinor. At the core, Altada's underlying modelling framework has been designed to maximise model selection opportunity. As strong proponents of constraint programming, AI planning and learning optimisation, Altada's expert team has built and deployed solutions to enable better decisions and augmented customer experiences. The robust Altada AI platform deploys decision modelling and is well-equipped to deliver bespoke solutions to the users. "Our specific focus on the financial services within the healthcare industry has impacted healthcare finances in a positive way," states Beechinor. The company's expertise in financial services results in a tailored approach towards the data that its clients are ingesting in order to run their business rather than trying to rebuild an application to deliver upon a problem.Apart from financial services, Altada's use cases also include assessing the viability of a mortgage portfolio and assigning value-based documentation that supports that portfolio. Moreover, the company conducts due diligence on behalf of a funding partner to understand the intricacies of AI and other new technologies. These use cases extend to help clients with complex and potentially inaccurate data, improving regulatory compliance, data governance, process efficiency and profitability. With a strong value proposition in place, Altada is well-positioned in an era where there is a relentless race to harness the power of AI. Moving ahead, the company is committed to continually assessing practical applications and economic potentials of AI.
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