This white paper explores how this 'always on' eLearning resource can facilitate technology professionals' ability to increase productivity, pursue professional certifications, and improve collaborations and communication.
Leaders in both training departments and business units are waking up to the fact that most employee learning is informal.
In this report, we will address just the first challenge - sourcing learning content and, more specifically, informal learning content.
Published By: newrow_
Published Date: Mar 11, 2015
In 2013, over 7.1 million college students enrolled in an online course,contributing to the steady 260 percent increase in online enrollment over the last decade. As the current and future student populations -- made up of Millennials and Gen Zs, a generation collectively now referred to as Generation C -- become even more digitally reliant, we’ll see more students flock in record breaking numbers to more flexible learning environments.
Artificial intelligence (AI) leads the charge in the current
wave of digital transformation underway at many global
companies. Organizations large and small are actively
expanding their AI footprints as executives try to comprehend
more fully what AI is and how they can use it to capitalize
on business opportunities by gaining insight to the data
they collect that enables them to engage with customers
and hone a competitive edge. But, while AI may indeed be
the frontier of enterprise technology, there remain many
misconceptions about it.
Part of the confusion stems from the fact that AI is an
umbrella term that covers a range of technologies —
including machine learning, computer vision, natural language
processing, deep learning, and more — that are in various
stages of development and deployment. The use of AI for
dynamic pricing and targeted marketing has been in use for
a while, but actual AI computing where machines think like
humans is still many years from becoming mainstream. T
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars.
This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
Technology can be used to improve educational outcomes for
ELLs and to promote school engagement for their families.
Technology tools can help accelerate language development
while minimizing the digital divide and the “learning gap” for
ELLs and their families.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
Colleges and universities are transforming to meet the demands of new students. Technology plays a critical role in making improvements to both physical and process infrastructure.
As the world’s leading provider of education technology, Lenovo knows that steady technology leadership is critical to ensuring higher education institutions to stay responsive to these always-evolving, real-world challenges.
• IT must balance innovation with budget and manageability • Professors must navigate new tools while focusing on institutional goals • Administration needs to support student growth with limited budgets • Students are exploring digitally driven learning opportunities
The creation of an immersive virtual setting requires students to understand the immersive visual and audio environment of the world they intend their characters to inhabit. Development of a digital story arc requires an understanding of sequence, causality, and communication of meaning to digital story viewers. An immersive digital story can be created and viewed on mobile devices, tablets, and computers by students as early as elementary school.
Virtual Digital Storytelling sits at the convergence point of empathy, social and emotional learning, engagement with community, and learning with emerging technologies.
Download today to find out how Fujitsu's suit of Augmented and Virtual Reality tools can help your business.