TechTribe Oxford talks to co-founder and chief technology officer Roger Noble about Zegami’s recent growth, scale-up plans and Twitter activity during the UK general election.
Zegami has been engaged by world famous Monterey Bay Aquarium, to strengthen its project to monitor and protect the Great White Shark Population in the Northeastern Pacific.
How can big data, analytics, and cutting-edge tech tools help HR professionals make better, value-adding decisions? HR leaders of all types are invited to “Making Better HR Decisions with Analytics” webinar hosted by LiveTiles and Zegami.
There are many reasons for HR organizations to pursue analytics. But the primary reason should be strategic insights: findings that can be gleaned from seeing the trends in workforce data, which in turn translate to better organizational decision-making, informed by better data. These insights create real value, and while that value is difficult to quantify, it is impossible to ignore. The right workforce insight could lead to higher engagement, better wellness, more equitable diversity and inclusion efforts, or lower attrition, in addition to many other benefits.
Today most businesses are awakening to the age of data overload. Cloud processing facilitates more sources of information and more
As many companies explore HR analytics for the first time, it is common for the organization to struggle with how exactly to integrate the Analytics function within HR. In resolving this dilemma, the right analytics programs can offer the potential for true value-creation (i.e., ROI), through the right synergies.
Looking back at the pace of innovation over the last 10 years it becomes increasingly difficult to imagine a world
Introducing the project In the second of my blogs from the Zegami UX universe I am introducing a new report
At Zegami we’ve recently introduced the capability to track the state of your exploration in the URL. This is a
Introducing Zegami UX In the first of many blogs on UX research and design activity at Zegami, I am happy
Reinforcement learning is a type of machine learning often applied to problems involving indirect rewards – that is, in which
If you asked the leaders of most business functions — Logistics, Marketing, Finance, or IT — whether technology has “fundamentally