Sage Intacct recently held its annual user group meeting. The cloud financial management software service provider targets rapidly growing small- and midsize services companies. Within this broad category, Sage Intacct focuses on verticals including software, financial services, healthcare, nonprofits, wholesale and franchisers.
There’s been some speculation in the market that Hadoop may be disappearing. Some of this speculation has been driven by vendors that have recently downplayed Hadoop in their marketing efforts. For example, the Strata+Hadoop World conference is now known as the Strata Data Conference. The Hadoop Summit is now known as the Dataworks Summit. In Cloudera’s S-1 filing with the SEC for its initial public offering, the term “Hadoop” appears only 14 times, while the term “machine learning” appears 83 times. So, if some of the vendors that created the market appear to be pivoting away from Hadoop, does your organization need to do something similar, or is there a role for Hadoop in your IT architecture?
In 2013, the Organization for Economic Cooperation and Development (OECD) published a report titled “Action Plan on Base Erosion and Profit Shifting” (commonly referred to as “BEPS”), which describes the challenges national governments face in enforcing taxation in an increasingly global environment with a growing share of digital commerce. Country-by-country (CbC) Reporting has developed in response to the concerns raised in the report. To date, 65 countries (including all members of the European Union but not the United States) are signatories of the multilateral competent authority agreement establishing CbC reporting.
The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI and ML are already in use but others are a decade or more away from replacing human tasks.
A few years ago, we carried out benchmark research into customer service best practices. A key element of the research was to compare the approaches of the nearly three-fifths (58%) of organizations that described themselves as very customer-focused and the remaining two-fifths (42%) that are not so focused on their customers.