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Meet Paul Mendelson, a Senior Solutions Architect or Product Manager at PMsquare. He has been an IBM Champion for last 6 years!. With more than 15 years in the industry, Paul is well versed with all phases of the data lifecycle. From planning a warehouse, implementing the ETL, to building...
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by @Rohit Badlaney GM, IBM Cloud Product and Industry Platforms As we look ahead to 2024, enterprises around the world are undoubtedly evaluating their progress and creating a growth plan for the year to come. For organizations of all types—and especially those in highly regulated...
Meet Art S. Kagel, President & Principal Consultant at ASK Database Management Corp., and has been an IBM Champion since the inception of the program! With a passion for technology and a deep love for IBM Informix, Art shares his insights, experiences, and the journey that led him to become...
前回の振り返り 前回は「AI、データ活用を考える際のポイント」と題しまして 社会背景やお客様の課題とニーズ についてお話ししました。今回 は、 解決に必要な考え方やアプローチ、今できる解決策について お話ししたいと思います。 データは溜まる一方で、放っておけば未整理のまま、コストも工数も増大していってしまいます。 今から2025年までに蓄積データは2.5倍以上に増加すると予測されており、お客様の82%は複数の拠点に散らばったデータのサイロ化の悩みをお持ちです。 遠く離れた拠点のデータにアクセスしたり...
Change data capture (CDC) is a process of obtaining changes that are made within a data source (e.g. databases). Those changes are then delivered in real-time to a process downstream; this helps to maintain consistency across all systems that interact with data. Businesses may use data capture...
読者の皆様、タッキーです。 お客様やパートナー様との会話からの学び、最新ニュースから私的で旬なトピックをタッキーBlogとして連載投稿しています。 なんと本サイトJSUCのブログも100件目となります。ご愛顧本当にありがとうございます。 さて、今回から「AI、データ活用を考える際のポイント」と題しまして複数回に渡って、 社会背景やお客様の課題とニーズ、解決に必要な考え方やアプローチ、今できる解決策 などについてポイントをお話ししていきたいと思います。 なぜ、私がこの話題を選んだかというと一昨年、昨年、今年と年を追うごとにこの話題でお客様と会話する機会が増えており...
SQL Data Insights (SQL DI) is a new feature that is built into the Db2 for z/OS engine. The feature combines deep learning in artificial intelligence (AI) with advanced IBM Z technologies to infuse the Db2 engine with SQL-based semantic queries on user tables and views. To put it simply, SQL DI...
Getting started with IBM Db2 SQL Data Insights.pdf
If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective governance framework to better understand a data set’s journey from its origin to its end...
Financial institutions are obliged to comply with an extensive set of privacy, financial reporting and capital adequacy regulations such as FINREP, Basel/BCBS 239, GDPR, and CCPA. However, the competing demands on resources impair the efficient management of these regulatory requirements. It is,...
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