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How to know if text-based analytics makes sense for your company
The text-based analytics market is growing, but is it right for your company? Check out the three reasons below and find out.
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Why you need to learn about application performance monitoring
Application performance monitoring isn't new, but APM will get bigger soon, and your end users will thank you for that.
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10 signs you might not be cut out for a data scientist job
The data scientist role has been attracting quite a bit of attention and interest--but if you're considering a job in that field, make sure you know what you're taking on.
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How to make your business a big data leader: 5 steps
Three-quarters of executives said big data and analytics will be critical to their business strategy over the next three years, according to an NTT Data report.
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4 ways organizations can play ball with analytics
Major league baseball takes data-based decision making seriously, and so should your organization.
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How IBM Watson is revolutionizing 10 industries
The use of artificial intelligence and Internet of Things is increasingly becoming a reality for businesses. Here are ways IBM Watson AI and IoT are being put into practice in 10 industries.
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Why data scientists need to understand the business
At the 2018 Grace Hopper Celebration, Angela Zutavern of AlixPartners explained how data scientists can provide the most value for their companies.
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America's coolest company: How Big Ass Fans went from cooling cows to a multinational tech powerhouse
Big Ass Fans leveraged a quality product, Internet of Things technology, strong branding, and a unique corporate culture to fill a worldwide need for cooler air.
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Why big data is ready for content management
Data science teams need content managers. Here are 3 ways you can incorporate content management into your data science and analytics.
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Data lakes are an epic fail, but this open source project might change that
Data lakes are problematic because they centralize data but don’t make it accessible. Open source project Dremio may have a solution.
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Why 80% of UK businesses plan to hire a data scientist in 2019
Next year may be the year of a data surge, as companies increasingly focus on their ability to properly grok data for business value.
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Why you should extend your data insights with graph analytics
Moving your data science team to graph technology delivers greater flexibility.
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Five key points for every SLA
How IT managers can stay on top of their cloud vendor's performance.
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These 5 technologies provide the most transformative value for business
Only 40% of respondents to a recent ISACA's report said they were confident in security of their company's AI deployment.
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Why mainframe computing is still relevant: 10 benefits to your business
92% of executives and tech pros said the mainframe is a strong long-term platform, according to a BMC report.
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