Global Computing, Supply Chain, Ransomware & DDoS, Alternative Data, Curation Solutions, Location Intelligence

This week, we begin with the thoughts of various presenters on the energy-efficient options associated with computing to reduce carbon footprint in the workshop hosted by MIT. Next is an article describing a data-driven supply chain and the steps to create the same to make strategic use of data to get a thorough view of supply chain performance. Then, we have an analysis of the ransomware & DDoS attacks with their legal consequences & solutions for mitigation. Following that, we have a piece on a few critical strategies of alternative data to boost an organization’s opportunity analysis process. Next, is a piece discussing the importance of curation to data providers in controlling and capitalizing on their audience expertise. Lastly, we have an RTInsights interview with Chad Meley, CMO at Kinetica, to discuss the rise of real-time geospatial data, the problems businesses have in interpreting it, and the rewards gained when it is correctly utilized.

How Can We Reduce The Carbon Footprint Of Global Computing?

The voracious appetite for energy from the world’s computers and communications technology presents a clear threat for the globe’s warming climate. That was the blunt assessment from presenters in the intensive two-day Climate Implications of Computing and Communications workshop held on March 3 and 4, hosted by MIT’s Climate and Sustainability Consortium (MCSC), MIT-IBM Watson AI Lab, and the Schwarzman College of Computing.

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5 Best Practices For Creating A Data-Driven Supply Chain

The right data can help improve companies’ supply chain management by giving supply chain leaders better insight into aspects of their operations like customer demand and delivery inefficiencies. However, the sheer amount of data produced by a supply chain can seem overwhelming, so leaders must take the right approach when attempting to use data to improve their operations. Steps like automating a data pipeline and using AI and machine learning models can all help supply chain leaders with this endeavor.

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Why Organizations Need To Consider The Legal Consequences Of Ransomware And DDoS Attacks

Ransomware and DDoS attacks are costly to organizations that fall victim in terms of reputational damage, picking up the pieces as well as potential enforcement from the ICO and compensation claims by data subjects. Ransomware attacks are when a type of malware attempts to unlawfully encrypt files on a host computer system rendering them inaccessible and unusable (ICO). Victims of ransomware attacks are asked to pay, often in cryptocurrency, to have the data returned and/or decrypted.

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Leveraging Alternative Data To Drive Investor Insights

Investors can use all the data they can get their hands on. Analyzing a company is a tough task, and to find an edge, you must search for hidden indicators that can offer context to financial data. In this regard, alternative datasets are making a mark on investor portfolios and helping them deploy capital in better ways. On the surface, alternative data might seem like a viable option only for institutional investors. However, when combined with other elements of rich investor intelligence reports, even casual investors can uncover insights into companies that investors from bigger financial funds are less interested in.

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How Curation Is Helping Data Providers

Media buyers are facing an increasingly chaotic programmatic value chain that makes it difficult to optimize their campaigns. The end of cookies and new regulations surrounding consent and data privacy are all good for consumers but complicate things even further. To combat the complexity of the current media landscape, audience data providers have stepped up to offer media buyers large-scale targeting solutions and the flexibility needed to carry out their campaigns successfully.

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The Rise Of Real-time Location Intelligence

Real-time decisions informed by smart sensors and IoT data are increasingly critical in many industries and applications. However, new approaches to data management and analysis must be taken as more of the data from such devices is streaming data that includes information about both time and location. Early adopters are melding and analyzing their massive geospatial and time-series data in real-time to support new growth areas. 

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