Enterprises Can Digitally Transform with the Internet of Things

DataFloq

The Internet of Things is a key player in the digital transformation era. The number of connected devices is increasing every day. It shows the large scale implementation of IoT and the impact that it is making. Technical Internet of Things

Robotic Process Automation - Digital Transformation through RPA

DataFloq

Large organizations have installed numerous types of software to automate many tasks such as ERP, CRM, HRM, Financials, ITSM, Supply Chain, Logistics, etc. Repetitive tasks consume at least 50% of employee’s time. Artificial Intelligence Internet of Things

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How to Monetize the Sports Digital Transformation

DataFloq

The sports digital transformation is upon us, and the world of sports is about to be disrupted through the technology at play. In the words of the most decorated Olympian to step on the podium: “You can’t put a limit on anything. The field of sports has advanced by leaps and bounds over the last decade. The sports industry now generates some amazing figures, which demonstrates that it is at the tipping point of something great.

Why C-Level Executives Need to Close the Digital Transformation Disparity Gap

DataFloq

The digital transformation has become such an important part of organizational culture today that it is extremely easy for stakeholders to forget what it actually means. C-level executives believe that they have made solid progress towards digital implementation, but the reality is often starkly different. Artificial Intelligence Internet of Things

7 Examples of How Digital Transformation Makes Organisations More Efficient

DataFloq

Digital transformation can mean different things to different organisations. Others are seeking new ways to differentiate their business and better meet the needs of users and customers. Transforming manual processes to digital business.

4 Ways to Speed up RPA Solutions Implementation in 2021

DataFloq

During the pandemic, automation became a business priority for digital transformation. RPA implementation became an important part of an organization’s operational activities.With the increasing competition, speeding up the RPA implementation methodology is essential.

8 Key Tech Trends in a Post-COVID-19 World

DataFloq

COVID-19 has demonstrated the importance of digital readiness, which allows business and people’s life to continue as usual during pandemics. Blockchain Internet of Things

How to Maximize ROI From the IIoT

DataFloq

A digital transformation takes time, sometimes a considerable amount, which means it can be difficult to quantify ROI — at least in the short term. Real-time insights provide more of a direct influence on operations, offering minimal boons to a variety of business facets.

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Informatica Continues to Evolve Data Management Platform

David Menninger's Analyst Perspectives

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management.

Digital Supply Chain: Connecting the Dots of Design to Operate SCM Processes

DataFloq

The supply chain of today is governed by the manufacturer, wholesaler, retailer, and businesses operating in between. Not only has the concept of a supply chain progressed by leaps and bounds during the last decade or so, but it is also one of the most critical functions for an organization looking to achieve its short-term and long-term business goals. The availability of analytics and relevant data also influences the need for more digitization in the supply chain.

Defect Management Tools - Their Importance in the Era of IoT

DataFloq

However, detection of bugs is a key to achieving software quality but managing these issues/bugs is quite challenging. IoT is the talk of the town in this century and digital transformation efforts have made them commonly available in various sectors. The existence of IoT devices calls for different bug tracking tools that can ensure its efficient use. Let’s have a look at the importance of defect management tools in the era of IoT: 1.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”. The other one of the two is next on my list.)

Successful IoT business: just a question of standards?

CONTACT Software

There are days the little things in life make me happy. Three days … Continue reading "Successful IoT business: just a question of standards?". Digital Transformation Internet of Things Technology

Managing Emerging Technology Disruption with Enterprise Architecture

erwin

Emerging technology has always played an important role in business transformation. KPMG’s The Changing Landscape of Disruptive Technologies found that today’s businesses are showing the most interest in emerging technology like the Internet of Things (IoT) , artificial intelligence (AI) and robotics. Pilot projects that take a small number of incremental steps, with small funding increases along the way, help provide answers to these questions.

Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications.

The Business Value of Data Virtualization is Time (and Speed)

Data Virtualization

This is one of the most important concepts highlighted in 1994 by Carl Shapiro and Hal R. This simple idea describes the importance of the real effectiveness of. “Technology changes, economic laws do not.”

IRM Is Essential for Digital Transformation Success

John Wheeler

We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks. The top rated emerging internal risk is “lagging digitization” and this is the first time it has appeared in our quarterly report. “Lagging digitization” is defined as the risk that slow moving digital business transformation initiatives will cause stagnant growth and an organization to fall behind in their industry.

Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle.

Shocking Amount of Data

Rocket-Powered Data Science

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection.

Native Hard Pipe: Building a Reliable All-Optical Foundation for Industrial Digital Transformation

CIO Business Intelligence

In the era of industrial digitalization, communication networks are becoming increasingly important. Within the power industry, the rise of automation control equipment/IoT calls for a more advanced network to support greater service access while ensuring bandwidth and latency.

Getting started with IoT in 4 steps

CONTACT Software

Everyone talks about the Internet of Things (IoT) and the digital twin – they form the framework for new, digital business models. According to a forecast by PwC, digitization will bring the manufacturing industry an increase in turnover of more than 270 billion euros in Germany alone over the next four years. Digital Transformation Digital Twin Internet of Things

IoT failures and trust in technology

CONTACT Software

At the beginning of April this year I attended the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 Two points were particularly interesting here: In many application areas, the topic of customer journeys is high on the agenda – which confirms the current trend.

IoT failures and the trust in technology

CONTACT Software

At the beginning of April this year I was at the building IoT in Cologne. At the conference, which was organized by heise developer, iX and d.punkt publishing house, everything revolved around applications for the Internet of Things (IoT) and Industry 4.0 Two points were particularly interesting here: In many application areas, the topic of customer journeys is high on the agenda – which confirms the current trend.

Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

The level of impact that organizations have shown and the variety of use cases are inspiring. Two weeks from today we will announce the winners at the Data Impact Awards Celebration on Tuesday, 11th September the week of Strata Data 2018 , New York. We owe a great debt to our panel of judges who provided over 600 total nomination evaluations. Every year, the caliber of submissions goes up many notches. Commonwealth Bank of Australia. Lippo Digital.

The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Staging the Olympic Games is one of the most complex peace-time operations in the world: The 16 days of competition require at least 7 years of preparation beforehand and about a year afterward to break it all down.

How to Take Your Business to The Next Level with Data Intelligence

erwin

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Transforming Industries with Data Intelligence. What Is Data Intelligence?

Using AI to reinvent the enterprise

IBM Big Data Hub

With the accelerated pace of many organizations’ digital transformation, we have seen the emergence of new platform business models. Organizations have been digitally transforming in two ways simultaneously: from the inside-out and the outside-in.

AI Advances Lead To Improvements in E-Signatures

Smart Data Collective

With the advancement of digital technology, electronic signatures (e-signatures) have gained massive acceptance in the business world, where artificial intelligence (AI) further leads its improvements. They are used to verify digital documents and messages.

AI Meets IoT: Nutanix and Deepomatic Join Forces to Democratize AI at the Edge

Nutanix

Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams

AI Meets IoT: Nutanix and Deepomatic Join Forces to Democratize AI at the Edge

Nutanix

Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams

AI Meets IoT: Nutanix and Deepomatic Join Forces to Democratize AI at the Edge

Nutanix

Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams

AI Meets IoT: Nutanix and Deepomatic Join Forces to Democratize AI at the Edge

Nutanix

Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams

AI Meets IoT: Nutanix and Deepomatic Join Forces to Democratize AI at the Edge

Nutanix

Many organizations are faced with digital transformation challenges especially when it comes to adopting new technologies. Internet of Things (IoT) and Artificial Intelligence (AI) are two concepts which will enable organizations to rethink traditional edge solutions and drive new revenue streams

What Is Security Operations Center and How Can It Help Protect Your Business?

DataFloq

The business landscape is changing with the development of technologies such as mobile and cloud solutions, big data , and the Internet of Things. This opens up new opportunities for business growth but also increases the number of vectors for various cyber attacks.

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Surviving Radical Disruption with Data Intelligence

erwin

quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Without automation and the development of a governed data pipeline, you’ll never have enough data scientists in the front office to put the data to work.

Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks.

IoT 93

A List Of Business Analysis Events For 2018

BA Learnings

ProjectWorld*BusinessAnalystWorld holds this year from June 4-7, 2018 in Toronto and is reputed to be the largest series of conferences for project managers and business analysts in North America. An excerpt from the site is as follows: You will leave feeling motivated, armed with new skills, tools and techniques that can be immediately applied in your workplace - not to mention an arsenal of new contacts. Do you know of any other events that should be on this list?

Big projects might slip, but small steps win.

CIO Business Intelligence

American information technology author, business technology professional and university lecturer, Steve Andriole, asserts that big technology projects fail most of the time. Of course these digital breakthroughs are highly relevant for certain businesses and niche sectors.

Edge Computing is Thriving in the Cloud Era

CIO Business Intelligence

Recently, an increasing amount of hope is attached to edge computing. Experts agree that edge computing will play a key role in the digital transformation of almost every business. The first wave of edge computing: Internet of Things (IoT).

Future Proof: Technology Solves for Business Value

CIO Business Intelligence

In fact, the days of task-driven technology have vanished, replaced by technology as a vehicle for business growth. While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change.

The Journey to Understanding your Insurance Customers

Cloudera

Insurance carriers have a unique opportunity: They have access to powerful technologies and a wealth of information that can help them to better understand their customers and provide an enhanced customer experience. . Lack of Investment and Management Focus.

erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go.

Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Then, a full scale AI deployment must continuously collect, clean, transform, label, and store larger amounts of data.”.