Discover how data management
platforms can enable marketers
to tackle growing data challenges,
create powerful customer insights,
and set up marketing campaigns
that will increase revenues and
significantly decrease wasted effort.
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful
customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
Adobe is the only Leader in Digital Intelligence Platforms.
Digital intelligence with scope and depth. Your customers come to you from different places, so your data insights should do the same thing. Adobe Experience Cloud’s digital marking and analytics solutions help you combine insights from existing, new, and emerging channels. Read the Forrester Wave™: Digital Intelligence Platforms, Q2 2017 to find out why we stand alone among DI platform vendors.
Published By: Oracle CX
Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been
top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar
database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as
quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data
from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure
1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP
database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks
can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
The global electronics industry is the cornerstone of
the digital economy and the Internet of Things (IoT).
Electronic devices act as conduits for users’ digital
experiences, which are now seamlessly enabled and
updated in the cloud. The industry’s digital device
success has also introduced its latest challenge: going
beyond the device. Leveraging data to drive insights is
key to delivering greater value. Doing so requires
electronics firms to flawlessly integrate hardware,
software, services and data while learning from and
adapting to users. Through Digital ReinventionTM, they
can combine digital approaches and data by design to
drive new capabilities, changing business from the
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to
meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that
want the following:
? Extreme security: Firms that put data privacy and regulatory concerns at the top of their
requirements list will find that LinuxONE comes built in with best-in-class security features
such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework.
? Uncompromised data-serving capabilities: LinuxONE is designed for structured and
unstructured data consolidation and optimized for running modern relational and nonrelational
databases. Firms can gain deep and timely insights from a "single source of truth."
? Unique balanced system architecture: The nondegrading performance and scaling capabilities
of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it
suitable for workloads such as databases and systems of reco
Successful supply chain organisations of the future will adopt a technology-enabled, data-powered, insight-driven approach, and invest in recruiting top talent. If yesterday’s supply chains were rigid and reactive, tomorrow’s supply chains will be nimble and predictive.
Begin now to jump start your supply chain transformation journey. Read the following article to explore these key insights:
• Putting the customer first
• Utilising platforms correctly
• Winning the war for talent
• Investing in future-ready capabilities
• Leveraging cross-functional data
• Exploiting micro supply chains.
How confident are you and your peers about the data and security practices you’re working with? We asked 5,000 executives globally, across 24 markets and have some interesting results to share. For example, up to half of IT leaders consider their data is manageable but struggle to gain meaningful insights from it. Yet, while AI and autonomous technology could help relieve this situation, they aren’t high on the priority list. Read our report to find out more about executives’ views about data in connection with security, ethics, and visualisation.
Read the report
The Era of Autonomous Database Technology.
Read expert insights with first-hand accounts from DBAs and other IT professionals who see the wisdom if embracing autonomous database technology.
Hear from master DBAs, database product experts, and Oracle ACE Directors and learn why Oracle Autonomous Database is an opportunity to shed mundane responsibilities and embrace positive changes.
Innovate rather than Administrate. Download now.
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing.
This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond.
The Intelligent Enterprise Era. Download predictions.
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term.
Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however.
Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
Published By: IBM APAC
Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
Published By: IBM APAC
Published Date: Nov 22, 2017
It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.
Download Vormetric’s Annual Data Threat Report, featuring key insights from 451 Research, to learn more about the latest trends in data encryption and data security and how your business can best protect its most vital asset: it’s data.
Published By: Dell EMC
Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. And with nearly all smartphones equipped with geolocation abilities, advertisements can be made location-aware with improved precision for targeting. Understanding location is key to gaining improved insights.
HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them to provide well-timed and relevant advertising.
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline.
HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
Published By: IBM APAC
Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term.
A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Download to find out more now.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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