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In recent years, forensic science has become a ‘sexy’ topic and area of interest. This is in part due to the hit-TV series, CSI, but also due to a proliferation of fascinating specialisations within forensics. This article introduces the contemporary field of forensics, and then analyses to what extent Artificial Intelligence (AI) can be of service to this industry. The challenges and prospects faced by forensic science in relation to AI-power software solutions is discussed, touching on issues of big data, distributed environments, building statistical evidence, pattern recognition and data sovereignty.
In recent years, forensic science has become a ‘sexy’ topic and area of interest. This is in part due to the hit-TV series, CSI, but also due to a proliferation of fascinating specialisations within forensics. This article introduces the contemporary field of forensics, and then analyses to what extent Artificial Intelligence (AI) can be of service to this industry. The challenges and prospects faced by forensic science in relation to AI-power software solutions is discussed, touching on issues of big data, distributed environments, building statistical evidence, pattern recognition and data sovereignty.
This article describes what a research process is, explaining the 8 main steps in a research journey. It then highlights what the top 3 main pain points are for researchers along this process: time Vs scope of data; tracking sources; and communicating findings. Given this understanding, the top 7 AI-powered tools that can assist researchers are proposed and introduced. These tools cover all phases of the research journey. Special care is given to address the main pain points.
This article is intended to introduce the topic of machine learning (ML), and demonstrate how ML tools can be successfully integrated with your existing workflow across industries. This article begins by offering contemporary definitions of ML, AI, and workflow. It then offers a step-by-step four phase procedure for how to best leverage ML in your workflow without disrupting or compromising business aims. Finally, seven examples of ML in existing workflows are given in order to illustrate how effective and simple ML can be.
This article describes the genesis of South African AI legal tech start up, DocInsights. It describes how machine learning tools can improve your workflow, and bolster revenue for law firms, big and small. DocInsights is a proudly African AI solution and therefore is priced for the African market, providing an impressive and potentially disruptive intervention for Africa’s legal professionals.
In recent years AI has evolved from a ‘future possibility’ to an essential, workable tool across multiple industries, including aerospace, legal, advertising and biotech. The field of Mergers and Acquisitions (M&A), a speciality within management consulting and finance, is no different. This article describes the often complex, murky, and time consuming lifecycle of an M&A deal. Notably, a high percentage of M&A transactions do not close, or are deemed a failure for their poor outcomes post deal closure. Moreover, they are a huge drain on resources, often taking 4 - 6 months of highly specialised work and negotiation, with no guaranteed outcomes. Through 3 key value adds, smart insight, automation, and predictions, AI is set to revolutionise the M&A industry, enabling both target and buyer companies to make faster, better, safer and more compliant decisions.