Component Content Management: A New Paradigm in Intelligent Content Services
While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
Published By: BMC ASEAN
Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, there’s also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challenges—making enterprise goals of enabling cost savings via smarter operations and decision making come to fruition.
BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM
employs a differentiated approach with a more holistic
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective.
Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few.
Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors.
Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
In the digital economy, big IT budgets, lots of brick sand
mortar and an established market presence are no longer at
the foundation of a competitive advantage. What matters now
is the agility and speed to ensure that customer centricity is
supported as an overriding priority of business operations and
Game-changing ideas are developing and competitive threats
are emerging at a rapid and unpredictable pace. The resulting
digital disruption is not just occurring at the margins or within
isolated pockets of industry and commerce. It’s the new normal
and its consequences are far reaching. The essential question
for every organization in every sector is simply: Will we be the
disruptor or will we allow ourselves to be the disrupted?
Staying ahead requires adopting a combination of technology
solutions. Key among them is a smart process and decision
management system that infuses every process with
intelligence in order to continuously raise the bar for customer
In the digital economy, big IT budgets, lots of brick sand mortar and an established market presence are no longer at the foundation of a competitive advantage. What matters now is the agility and speed to ensure that customer centricity is supported as an overriding priority of business operations and decision making.
Game-changing ideas are developing and competitive threats are emerging at a rapid and unpredictable pace. The resulting digital disruption is not just occurring at the margins or within isolated pockets of industry and commerce. It’s the new normal and its consequences are far reaching. The essential question for every organization in every sector is simply: Will we be the disruptor or will we allow ourselves to be the disrupted?
Staying ahead requires adopting a combination of technology solutions. Key among them is a smart process and decision management system that infuses every process with intelligence in order to continuously raise the bar for customer centrici
Agile and innovative companies like Netflix, Instagram, Amazon, Airbnb, and Uber have used exponential technologies to completely disrupt their industries. But some of the largest industries in the world have fallen prey to these and other disruptive companies. And most of them didn’t even see it coming. The convergence of exponential technologies, along with bold thinking and the willingness to take risks, is completely altering the business landscape. And that landscape is changing at an accelerating pace.
Disruption is occurring far more quickly than ever before. On average, an S&P 500 company is being replaced every 2 weeks, and over 40% of today’s Fortune 500 companies on the S&P 500 will no longer exist within 10 years. The only options are to disrupt yourself or be disrupted by your competition. Which will you choose? If you choose the former, do you know how to proceed? This guide shares strategies you can employ today to start future-proofing your company.
Published By: IBM APAC
Published Date: Aug 22, 2017
While working to maintain tactical control of the mobile environment, IT managers often find themselves drowning in minutiae. Overwhelmed by the number of moving parts, they’re unable to stay abreast of the latest threats, let alone extract meaning from or make decisions based on the mountains of data now being collected. With limited IT resources dedicated to mobile technology tools that facilitate reactive rather than proactive management—and limited visibility into mobile intelligence across the organization—many managers have had to choose between security and productivity as the focus of their efforts.
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
Published By: LogRhythm
Published Date: Aug 08, 2016
It feels as if these folks have been around forever. They started life as a SIEM with a heavy emphasis on log management. Today they are all that plus a solid suite of next-generation attributes. They have many of the attributes of next-gen SIEMs: artificial intelligence, sophisticated log correlation, sophisticated pattern recognition and behavioral analysis. Their strength is, as it always has been, log management. But “log management” has taken on an entirely new dimension with this product. As is absolutely necessary today, it has the intelligence to analyze, correlate and make sense of huge amounts of data.
Published By: MuleSoft
Published Date: Apr 13, 2016
This whitepaper proposes a new approach to integration - API-led connectivity - that extends traditional service oriented approaches to reflect today’s connectivity needs. We’ll outline the core of this approach and implementation challenges and discuss how IT leaders can realize this vision in their own organizations.
Published By: MuleSoft
Published Date: Apr 13, 2016
The business of IT has changed dramatically. An always-on, always-connected world means that competition is fiercer, customers are more demanding, and businesses need to innovate faster than ever. Companies can try to harness digital transformation by trying to do things the old way, but they will fall behind; the traditional IT operating model is fracturing under the digital demands of their customers, partners and employees.
This book will showcase:
-how digital transformation is affecting your business
-a roadmap to help you innovate faster, lower operational costs, and increase your IT capacity
-real-life case studies of companies who achieved great business outcomes through API-led connectivity
Gain Immediate Value from Your Connected Factory Architecture!
Imagine if you could reconfigure your production line in days instead of weeks. Or if you could cut long search times for parts in half using factory wireless across a connected factory architecture.
These are only a few of the reasons why leading manufacturers deploy Cisco’s Connected Factory Solution.
Now you can try out these new technologies and capabilities on a small scale, with low financial risk in your own plant with the Cisco Connected Factory Starter Kit. Create a living lab and test out one or more specific use cases. Use it as a demo to get buy in from stakeholders. Or get one production line up and running immediately and roll out a more comprehensive deployment later on.
This white paper will discuss how the X-Force team collects, analyzes and distributes threat intelligence to IBM customers, as well as how this data is used to enrich the capabilities of the IBM Security portfolio.
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.