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February 25, 2020
Many CIOs are doubling down on their data analytics strategies to achieve business goals. Read more â¶
Top 9 master data management certifications
6 tips to avoid automation disaster
The CIOâs chief of staff: A role to bridge business and IT
12 most difficult IT jobs for employers to fill
The future of IT leadership: 5 new roles CIOs must master
Concordance harmonizes ERP for healthy growth
CIO Leadership Live with Jason Nairn, CIO of Concordia University
Gartner names Databricks a Magic Quadrant Leader in Data Science and Machine Learning Platform. Read more â¶
Individuals with expertise in master data management (MDM) are essential to helping organizations get the most out of their data and comply with regulations. Here are the MDM certifications that will give your career an edge. Read more â¶
DEALPOST
This 12-course bundle introduces students to the language and shows them how to use it in real world applications. Read more â¶
If your automated DevOps pipeline or robotic process automation is flawed, it can spawn endless headaches, as these hard-learned real-world lessons attest. Read more â¶
The chief of staff role is taking on prominence in companies looking to bolster their IT leadership benches. Amanda Clarke discusses her experience in the role at Newport News Shipbuilding. Read more â¶
The 2020 State of the CIO research reveals organizations struggling to fill cybersecurity, data science and AI roles. Read more â¶
If you think technology leaders' jobs have changed a lot over the past few years, just wait. Here are five new roles all CIOs must take on in the years ahead. Read more â¶
When three distributors of health care products joined forces, they had to merge IT teams and settle on a common ERP before they could deliver tools for growth. Read more â¶
Jason Nairn, CIO of Concordia University, joins Maryfran Johnson for this CIO Leadership Live interview. Watch as they discuss IT leadership in higher education, risk management and more. Read more â¶
This white paper shows how Talend and AWS are bridging the gap between data scientists and data engineers to operationalize ML. Read more â¶
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