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  • Blog
    December 14, 2023
    Flash Report — New European Union (EU) Regulatory Framework Addresses the Risks of AI
    In the news: On December 8, after two and a half years of negotiation, the Council of the EU and the EU Parliament finally reached a provisional agreement on the EU AI Act. The agreement creates legislation that introduces harmonized rules and definitions for those using AI systems and putting those systems into service and bans certain types of AI practices. Why it matters: The AI Act is the…
  • Blog
    December 14, 2023
    Flash Report: New European Union Regulatory Framework Addresses the Risks of AI
    In the news: On December 8, 2023, after two and a half years of negotiation, the Council of the EU and the EU Parliament finally reached a provisional agreement on the EU AI Act. The agreement creates legislation that introduces harmonized rules and definitions for those using AI systems and putting those systems into service and bans certain types of AI practices. Why it matters: The AI Act is…
  • Flash Report
    December 13, 2023
    Einigung über KI-Gesetz schafft regulatorischen Rahmen zur Bewältigung von KI-Risiken
    Im Dezember erzielten der EU-Rat sowie -Parlament nun eine vorläufige Einigung über das EU-KI-Gesetz, den die Europäische Kommission bereits 2021 vorschlug. Dort werden Regeln, Definitionen sowie Verbote für bestimmte Anwendungen vorgeschrieben.
  • Blog
    December 13, 2023
    Accelerating Enterprise IT Transformation
    The ways in which individuals and teams in organizations work are generally recognized as critical to how modern enterprises can sustainably deliver technology. This is because this allows organizations to enable and delight their customers (both internal and external), while maintaining profitability and agility. But it remains challenging for IT organizations to achieve the 'value flywheel'…
  • Blog
    December 6, 2023
    Properly Prepping Data for SAP S/4HANA
    The big picture: During an organization’s SAP S/4HANA journey, the lack of attention paid to data can be an all-too-common pitfall. Why it matters: If data preparation and data conversion are addressed and well planned prior to the start of the project, then one of the key risk areas for most projects will be largely mitigated before resource bandwidth is stretched thin.  …
  • Landing Page
    Executive Perspectives on Top Risks for 2024 and 2034 form
  • Blog
    December 14, 2015
    HANA Sentiment Analysis with SAP Predictive Analytics
    One of the new features I'm most excited about with the new SAP Predictive Analytics 2.4 update is the HANA Sentiment Analysis module that's been added for HANA online mode. The HANA Text Analytics engine has been available for several years, but has remained somewhat inaccessible due to the relatively complex interface required to use it. I've written in the past about how much I love the SAP…
  • Partner
    Payscale
    Payscale is a leading technology solution for managing and scaling compensation that provides multiple streams of fresh, transparently curated, and validated salary data. Combined with modeling engines that learn continuously and generate recommendations and insight, Payscale empowers HR to price jobs and adjust compensation to reflect near real-time changes in the market — all on one trusted…
  • Partner
    PlainID
    PlainID is The Authorisation Company. PlainID provides both business and admin teams with a simple and intuitive means to control their organisation’s entire authorisation process, all based on their own business logic. PlainID simplifies Authorisation so that thousands of Roles, Attributes and even Environmental Factors can be converted into a few logical Smart Authorisation policies using our…
  • Blog
    November 24, 2015
    Deciding How to Implement Your Predictive Models
    Implementation is the piece of your analytics strategy that makes your models available to everyone. Your models aren’t valuable until they can be accessed from wherever they need to be, whether that is in a business intelligence environment or within an application. If no one can get to the information, it’s useless! There are two ways to implement your predictive models and pros and cons to…
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