Analytics
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Mercy turns to analytics to improve implant outcomes
Mercy Technology Services is using NLP technologies and an in-memory database to extract and analyze data from doctors’ notes in near real-time.Feature
Bank of America brings AI to equity capital markets
Machine learning and artificial intelligence is helping Bank of America's bankers more accurately identify investors for IPOs.CDO at the Center
Why AI as a service is poised to take off
Like SaaS before it, AIaaS is a boon for businesses that want tap into the power of AI — without the time and expense of developing their own AI-based systems.Feature
5 data analytics success stories: An inside look
Many CIOs are doubling down on their data analytics strategies to achieve business goals.Feature
Catholic Relief Services leverages machine learning to fight hunger
Data collection and machine learning help CRS predict which households will face food scarcity within the next few months, allowing it to respond faster and more efficiently.News
Oracle unleashes cloud-based data science platform
The database giant is leveraging assets from its acquisition of DataScience.com to deliver a new enterprise-grade, cloud-based data science platform focused on collaboration.Feature
Bayer uses digital twins to reshape business strategy
Bayer Crop Science has created 'virtual factories' to provide dynamic digital representations of the equipment and processes for each of its nine North American corn seed manufacturing sites.Feature
Verizon boosts customer service with NLP
The telecom giant has reduced costs and improved customer service response times by leveraging natural language processing and deep learning to automatically process requests.Feature
Predictive analytics help PPG customers prevent corrosion
The supplier of paints, coatings, and specialty materials has created a new analytics service to help its customers maximize the uptime and life expectancy of their industrial assets.Feature
Anheuser-Busch InBev brews data-driven transformation to lure talent
Brewing conglomerate AB InBev believes it has crafted a winning recipe to attract top Silicon Valley talent: decades of data and a commitment to emerging tech to help solve business challenges.Feature
20 IT resolutions for 2020
The new decade finds technology changing faster than ever. IT leaders must balance a wide array of priorities in developing a strategic agenda that can keep up.News
Technology and trust run in parallel at NZ Police
Deputy chief executive Mark Evans and CIO Rob Cochrane discuss how the NZ Police is working together – and differently – as ICT becomes a critical component of policing rn rnFeature
5 data analytics investments worth the hype
Analytics technologies are all too often hyped as transformational magic. But these five emerging analytics investments look promising and productive enough to fuel future bottom-line benefits.Feature
Domo vs. Tableau: Self-service analytics tools compared
Self-service business intelligence has become the go-to tool for business decisions. Here’s how Domo and Tableau stack up on features and pricing.The Tech Exec’s Advisor
Analytics drives competitive advantage at Western Digital
$20B global manufacturer created a Digital Analytics Office to drive speed of insight and scale of operations.The Next Generation of Health IT
Applying cognitive science to champion data-management adoption
Business relationship managers today have new techniques to make data management stickier. Mix it up for greater data-enablement adoption.News
Carmen Casagranda joins Chubb Life as global CIO
Leaves Cigna International after nearly 10 yearsrnrnFeature
Top 5 strategic priorities for CIOs in 2020
IT leaders from health-care, retail and tech sectors share their strategic priorities for 2020. Hint: Analytics, automation and cloud play big roles in CIOs’ roadmaps.The Industry Standard
Google and Facebook: It’s your job to fix a broken internet
The internet giants need to step up and repair our information system, because only they have the wherewithal to do itFeature
AI in retail: Survival depends on getting smart
Machine learning is fast becoming a must-have for retailers looking to stave off disruption, but the barriers to entry — upfront cost and data prep — remain an obstacle for most.News
The big picture from Tableau Conference 2019
More AI, more preparation, more cloud integration were the key takeaways from the analytics platform maker’s annual event.Feature
7 ways IT can help cut friction from the customer experience
Top-notch CX is a digital business imperative. Here’s how to ensure your organization’s customer and client experience is hassle-free.Feature
CDO resumes: 4 tips for landing a chief data officer role
Chief data officers are on the rise as businesses embrace data-driven strategies. But you’ll want to follow these four tips to write the perfect CDO resume to get the job.The Next Generation of Health IT
How analytics help justify the role of the CIO
CIOs require unified intelligence for data-driven insights leading to actionable organizational decision making.News
Microsoft shows off hybrid cloud management and cloud analytics tools at Ignite
Enterprises will soon have access to Azure Arc and Azure Synapse Analytics, two new services that bolster Microsoft’s cloud offerings.Feature
The chief data officer: The CIO’s newest ally
As organizations shift to data-driven strategies, the CDO role is rising. But to succeed as an entity, the CIO and CDO must work in concert — with clear delineations in responsibilities.Feature
Data preparation tools: Your analytics strategy’s secret weapon
Data preparation is frequently cited as the leading roadblock to leveraging data within an organization. Getting the right tool for your organization can help you breakthrough.Feature
LinkedIn Talent Solutions: 10 tips for hiring your perfect match
Looking for the perfect candidate? LinkedIn Talent Solutions offers powerful tools and services for leveraging real-time data and machine learning to find your match.Feature
Ticketmaster tackles tech debt with streaming data platform
Online box office takes data science enterprise-wide without rewriting all its code.Feature
What is business intelligence? Transforming data into business insights
Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s business decisions.Feature
What is decision science? Transforming decision-making with data
Decision science is one of the most interesting areas of data science for businesses but it needs to be part of the data science ecosystem your organization builds.The Digital CIO
To kick-start AI projects, think "minimum viable intelligence"
AI systems don't need to be perfect to be put into production. They just need to be better than humans.Feature
How to predict who will quit — and whom to poach
Predictive analytics can help pinpoint why your talent is leaving, how to prevent it, and whom to go after when recruiting from competitors.Feature
Explainable AI: Bringing trust to business AI adoption
For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.Feature
Tableau explains your data with new natural-language tool
Tableau latest self-service capability, Explain Data, provide users with automated analysis of their data visualizations in ways they can readily understand.Healthcare Technology Trends
Healthcare data’s moment of lift
The unlocking of patient data is leading us to a future when health care will be a vastly improved experience with superior outcomes. However, there will be guard rails around consumer access to personal health records.Feature
Power BI vs. Tableau: Self-service analytics tools compared
Self-service business intelligence has become the go-to tool for business decisions. Here’s how Power BI and Tableau stack up on features and pricing.Feature
IRS combats fraud with advanced data analytics
The Internal Revenue Service deals with billions of dollars in identity theft tax refund fraud every year. Anomaly detection powered by advanced analytics is helping to combat it.Feature
Digital leaders level up
CIO 100 award-winning companies are scaling their transformation efforts, tapping cutting-edge technologies to pursue digital business across the enterprise.Feature
Top 10 BI data visualization tools
Visual analytics is the core of business intelligence. Here are the tools you need to see through the data.Feature
6 tools that make machine learning easier
Vendors are taking the mystique out of machine learning by offering layers for automating data prep and algorithm choices, opening up AI to motivated, data-smart business users.Taming Enterprise Complexity
Effective data modeling
Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a primary focus of any enterprise architect.Iron Age Epilog
Tesla, the data company
Tesla is harnessing artificial intelligence and machine learning to build one of the most innovative neural networks in the world.Feature
Advanced analytics gives health benefit company competitive edge
BlueCross BlueShield of Tennessee drills into data to help its partners better tackle budget pressures and member care by getting insights faster.Feature
Kaiser Permanente reduces patient mortality with predictive analytics
The managed care consortium's Advance Alert Monitor early warning system uses predictive analytics to identify patients at risk of deterioration within the next 12 hours.Feature
What is predictive analytics? Transforming data into future insights
Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning.Feature
Summer 2019: Digital leaders level up
While some companies flirt with digital transformation, experimenting with one-off projects, others make it a key pillar of their enterprise business strategies. Read on to see how some 2019 CIO 100 award-winning organizations are successfully scaling digital innovation.Feature
How Zulily targets shoppers with hyper-personalized offers
The online retailer turns squads of developers, data scientists and product managers loose to build machine learning software and other critical business capabilities.The Serial Entrepreneur
The hot market for data science and analytics
The value of improved data analytics, integration and visualization has surged in importance in recent years, highlighted by many recent acquisitions of companies in the space. CIOs should prioritize team education, modern toolsets and processes to take advantage of all of the changes in this market.Feature
6 reasons why AI projects fail
Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.
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