Software personal assistants continue to be a topic of significant research interest. This article outlines some of the important lessons learned from a successfully-deployed team of personal assistant agents (Electric Elves) in an office environment. In the Electric Elves project, a team of almost a dozen personal assistant agents were continually active for seven months. In addition to outlining some of the key lessons learned we outline our continued research to address some of the concerns raised.
The Environment Ministry is planning to tighten restrictions on exports of electronic waste by fully revising the so-called Basel law on trade in hazardous waste, according to a ministry source. The law has not been revised since its enactment in 1992 to comply with the Basel Convention, an international treaty to control cross-border transfers of hazardous waste, specifically from developed to developing countries. Under the convention, anyone exporting waste materials containing hazardous substances such as polychlorinated biphenyl and lead is obliged to obtain written consent from the governments of the destination countries in advance. The Environment Ministry plans to clarify what materials are subject to such restrictions while relaxing import procedures for waste materials with a lower risk of contaminating the environment, the source said Tuesday.
The Team Data Science Process requires that data be ingested or loaded into a variety of different storage environments to be processed or analyzed in the most appropriate way in each stage of the process. Data destinations commonly used for processing include Azure Blob Storage, SQL Azure databases, SQL Server on Azure VM, HDInsight (Hadoop), and Azure Machine Learning. This menu links to topics that describe how to ingest data into these target environments where the data is stored and processed. Technical and business needs, as well as the initial location, format and size of your data will determine the target environments into which the data needs to be ingested to achieve the goals of your analysis. It is not uncommon for a scenario to require data to be moved between several environments to achieve the variety of tasks required to construct a predictive model.