In a connected world content becomes the nucleus of business growth. Oracle provides scalable, secure solutions to help drive an organization’s digitalization efforts maximizing operation automation, machine learning, and cloud services.
Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses or data marts in minutes.
Did you know that organizations with advanced finance teams are more likely to have a compelling digital customer experience? The driver behind this trend? A digital, customer-first way of working with greater investment in talent, innovation, and advanced technologies such as artificial intelligence (AI) and machine learning (ML).
While finance has long taken advantage of technology to help drive productivity and collaboration, the goalposts have recently moved. Today’s organizations must adopt an agile finance operating model— powered by emerging digital technologies and skillsets—to better support the demands of an economy driven by continuous innovation.
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively.
Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies.
Download this solution brief to learn more.
Students and teachers at Belleville Township High School District now rely on Ruckus Networks to stay connected to laptops, tablets, and smartphones. With Ruckus Cloud Wi-Fi, the IT team at Belleville Township High School District is able to access and manage WLANs with a click of a button.
Read this case study to learn why they chose Ruckus Cloud Wi-Fi, allowing Belleville to take classroom learning to the next level.
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience.
Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk.
Find out how Watson Assistant can accelerate your customer support experience.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Both are fueled by a drive for progress, for pushing
boundaries and advancing the status quo. In these fields,
new trends are like a currency. Keeping ahead of the
next big trend means being aware of the next big seller
and allocating all the right resources – fashion design,
manufacturing, and marketing – for maximum impact.
Miss the hype and the next fashion season is bound to
hurt the bottom line.
New trends are also important to marketers because
owning a new trend is a way to differentiate in today’s
fast-moving digital landscape. It’s a way to stand out
from the pack by investing strategically in the right
approaches and technologies at the right time, then
reaping the benefits organically by leading where others
follow. Naturally, making these decisions requires a bit
of trial and error. Nobody has a magic crystal ball that
guarantees success. But as a rule of thumb, the companies
winning in digital marketing are the ones willing to
adopt new technologies while keeping an sharp.
What does it take to be relevant today? In the era of hyper-connectivity, consumers
have become entitled, demanding more control over their experiences and
expecting that marketers use data and insights to create a seamless, relevant brand
experience. Research shows that communications containing relevant information
and offers are the best drivers of brand loyalty and conversions
Context can make or break the communication – and, ultimately, the relationship – between
a consumer and a brand. Today’s consumers expect relevant communications that speak
directly to their needs in the moment. We have the technology today to deliver such messages –
but there are significant barriers to developing relevant, contextual programs of this kind.
Some of the development challenges represent new versions of old challenges. Take data as an
example: it has always been hard to harness data from different sources and to leverage insights in
real time. But today, there are additional opportunities – if not expectations – for marketers to use
contextual data to better reach and engage customers through the optimal channel(s).
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go.
Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet.
Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
Moving Beyond Traditional Decision Support
Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
Published By: Datarobot
Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
Published By: Datarobot
Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
Published By: Lumesse
Published Date: Feb 13, 2015
This White Paper provides information on how Technological advance is powering a motivational disconnect between what Gen Y/Millenial employees can achieve when it comes to learning and development (L&D).
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
Published By: Workday
Published Date: Jan 09, 2019
Artificial intelligence (AI) and machine learning are redefining business analytics. But for
HR, use cases can be much more complex. Learn five key steps to build a strong foundation for
answering HCM questions today and position yourself to use AI in HR going forward.
Published By: Workday
Published Date: Oct 11, 2018
The experts agree: Workplace learning can no longer be an "out there," disconnected process-
-it has to be tightly and carefully woven into a worker's experience, integrated into the fabric of the
modern workplace. Read the article to discover how three leading experts see the future of workplace
learning unfolding today.
The lead generation possibilities in social media are countless. Do you and your team know how to tap into them?
Download your complimentary white paper, Closing the Loop on Social Leads, and uncover valuable leads by learning the tactics and metrics that enable social selling success.
Published By: Brainshark
Published Date: Oct 16, 2013
94% of Fortune 500 companies have either adopted iPads or are rolling out pilot programs - what does this mean for your company? This report examines enterprise tablet adoptions and trends, iPad usage in the enterprise, and the benefits of leveraging the iPad for sales, training and corporate communications.
Published By: Brainshark
Published Date: Nov 05, 2013
Employees today are challenged to keep up with rapidly changing technologies and information. Discover the benefits of just-in-time learning and learning on-the-go in this video, and find out how your organization can help employees learn anywhere, anytime and on any device.