Smart Data Collective

JULY 19, 2019

When Alan Turing invented the first intelligent machine , few could have predicted that the advanced technology would become as widespread and ubiquitous as it is today. Since then, companies have adopted AI for pretty much everything , from self-driving cars to medical technology to banking. We live in the age of big data, an age in which we use machines to collect and analyze massive amounts of data in a way that humans couldn’t do on their own.

Artificial Intelligence 217

Artificial Intelligence User Experience Big Data Predictive Analytics 217

Userzoom

JULY 16, 2019

Budget is often restrained for designers and researchers; whether in time, money or both. So, why would it ever make sense to test someone else’s website? Especially where you don’t have any ownership or influence to change the designs based on your research or testing? While it may not be the best case for every situation there are times when it makes perfect sense; maybe you have a fresh idea you are a bit unsure of or perhaps you need to showcase the value of research and the client isn’t bud

User Experience 115

User Experience Stakeholder Management Planning 115

Business Analyst Learnings

JULY 18, 2019

I tend to describe the agile approach as a way of working; A targeted way of working that allows us to make changes, respond to customers’ needs and manage uncertainty with minimal delays, and without needing to wade through “red tape”. Agile manifesto encourages: - Customer collaboration over contract negotiation - Individuals and interactions over processes and tools - Responding to change over following a plan - Working software over full documentation This does not however imply that the agi

Agile 106

Agile Documentation Project Management Government 106

Data Pine

JULY 17, 2019

Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. Moreover, within just five years, the number of smart connected devices in the world will amount to more than 22 billion – all of which will produce colossal sets of collectible, curatable, and analyzable data, claimed IoT Analytics in their industry report.

Digital 89

Digital Data Visualization Visualization Monitoring 89

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Banking

Smart Data Collective

JULY 17, 2019

The senior care industry is undergoing a massive transformation. The biggest trend that it is facing is the growing need for eldercare services. Big data and artificial intelligence technology is going to play an extremely important role in the near future in the future of senior care. Artificial intelligence is expected to meet the growing needs of the elderly care industry.

Artificial Intelligence 212

Artificial Intelligence Predictive Analytics Big Data Digital 212

Perceptual Edge

JULY 14, 2019

People increasingly claim that the best and perhaps only way to convince someone of something involves telling them a story. In his new book Ruined By Design —a book that I largely agree with and fully appreciate—designer Mike Monteiro says that “If you’re not persuading people, you’re not telling a good enough story.” Furthermore, “…while you should absolutely include the data in your approach, recognize that when you get to the point where you’re trying to persuade someone…, you need a story.

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Leading Agile

JULY 15, 2019

What does your organization value most, predictability or adaptability? Identifying the direction you lean between these two can offer important insights you’ll use when embarking on your journey to Agile Transformation. No matter where you fall in this spectrum, knowing where you are now is key in choosing the right path to get where you want to be.

Agile 72

Agile Planning Product Management Product Management 72

Smart Data Collective

JULY 17, 2019

Instagram has been a leading pioneer in the world of big data. They have used complex machine learning and AI tools to solve a number of issues, such as predicting the images you will like and fighting cyberbullying. The benefits of these machine learning solutions are multi-tiered. They don’t just help users of the platform. Big data technology is also making the platform better for advertisers.

Big Data 201

Big Data 201

Analyst Catalyst Blog

JULY 16, 2019

Business Analysis 150

Business Analysis Business Analysis 150

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The Analyst Agency

JULY 16, 2019

A Guide to Predictive Analytics Marketing By Steven Czyrny According to a Forbes Study, about 86% of big companies in North America revealed to have applied predictive analytics marketing. This technology has had a positive return on investment. Predictive analytics is all about techniques of leveraging present customer data to make future predictions.

Predictive Analytics 75

Predictive Analytics Digital 75

Sisense

JULY 14, 2019

Blog. Quick question: does your company have data? Sorry, that one was probably too easy. How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company. Big Data Leads to New Breakthroughs in Telecom Products.

Big Data 201

Big Data Retail Artificial Intelligence Logistics 201

Phocas

JULY 18, 2019

Whether you work for a retail, distribution or manufacturing organization, selling more product at the highest profit margin is a constant goal. Companies understand that the rise in e-commerce technology presents an opportunity to sell more on a global scale and deliver products faster and easier to more customers. Smart businesses are keeping up with the interplay between experiential and transactional to remain competitive.

E-Commerce 75

E-Commerce Retail Business Intelligence Business Intelligence 75

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Innovation

Leading Agile

JULY 18, 2019

This episode of SoundNotes features two questions recently submitted by students from our CSM and CSPO classes. LeadingAgile’s Sarah Smith and I respond to the questions, sharing our thoughts, recommended practices, and things to watch out for. The two questions are: 1. Is it okay for the ScrumMaster to take on additional (non-ScrumMaster) work during the Sprint?

Planning 59

Planning 59

Sisense

JULY 17, 2019

Blog. If you Google “data visualization” or “dashboard design,” which is likely how you ended up reading this, you’ll probably find examples of beautiful widgets and dashboards that leave you wondering, “How can I make these for my business?”. You may not have the resources — like a full team of UI/UX designers — to dedicate to your dashboards, but there are some practical tips you can start with in order to make your widgets and dashboards nicer to look at and, more importantly, functional for

Visualization 71

Visualization Data Visualization Monitoring 71

Smart Data Collective

JULY 16, 2019

Machine learning is being used more extensively in email marketing. A couple months ago, Nathan Sykes of Curatti wrote an article on the benefits of machine learning and other big data tools for email marketing. But how many solutions can machine learning really offer? That will depend largely on the way it is integrated into the email marketing funnel.

Big Data 190

Big Data Digital Data Analytics Data Analytics 190

Phocas

JULY 14, 2019

Phocas data analytics is exhibiting at the UBT Trade Expo 2019 in Warwick this week. This three-day event is for UK business leaders, and you can meet the Phocas team at stand #10. We are keen to share with you how other UBT members are using our solution to find insights from their data and create better outcomes for customers and stronger margins for their products.

Data Analytics 73

Data Analytics Data Analytics Business Intelligence Business Intelligence 73

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ChatGPT has dominated boardroom conversations for months now. From drafting a stock trading program, to creating a SQL query to model data, there are practically no limits to the applications of the AI language model assistant. At ManageEngine, we have been working on our own AI-assistant, Zia. Zia is a fully-trained analytics assistant that can perform a range of functions such as creating and adding reports to dashboards, providing conversational support to data analysis, insight discovery, bu

Domo

JULY 15, 2019

What comes to mind when you think of data? Is it cold, hard numbers, telling an emotionless truth? What I find interesting is that our pursuit of this emotionless data is often driven by an actual emotion: curiosity. We’re interested in what the data says, the insights it holds, and how we can draw those insights out to inform decisions—or justify our efforts in a more tangible and provable manner.

Innovation 52

Innovation Data Management Visualization Digital 52

QAT Global

JULY 15, 2019

12 Must Watch TED Talks on AI For all, you who are technology lovers, AI enthusiasts, and casual consumers with peaked interest, don't miss your chance to learn about the newest advancements in artificial intelligence and an opportunity to join the discussion on the ethics, logistics, and reality of super-intelligent machines. Explore the possibilities of [.].

Artificial Intelligence 45

Artificial Intelligence Logistics 45

Smart Data Collective

JULY 16, 2019

Big data has had wonderful implications for our lives. However, there is a dark side. Big data raises very valid privacy concerns. Tech Republic wrote about this in their 2017 post Big Data Privacy is a Bigger Issue than You Think. Concerns about big data privacy are highlighted by a new project Facebook is working on – the Libra currency project.

Big Data 187

Big Data Government Vision Documentation 187

Phocas

JULY 16, 2019

In the age of data, choosing not to invest in a quality business intelligence (BI) solution can mean your sales team are losing market share to your competitors.

Business Intelligence 55

Business Intelligence Business Intelligence 55

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Actian

JULY 17, 2019

Data integration, like the digital-transformation initiatives it supports, is a journey and not a destination. Every company is somewhere on a path from the past to a desired state of future integration they’d like to achieve. If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business pro

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

GAVS Technology

JULY 15, 2019

By Roman Kruglov. The shift in technology to cloud-based solutions is causing technology to be less platform-centric. Mobile devices are replacing traditional PCs and the use of mobile apps, rather than applications in a client-server environment is going up. With this shift our users are becoming more technology savvy and independent, they are looking outside of the traditional helpdesk tools and process to accomplish what they need, we must be able to adjust to this change to keep users happy.

Digital Transformation 40

Digital Transformation Digital 40

Smart Data Collective

JULY 17, 2019

Artificial intelligence is playing an invaluable role in manufacturing. According to CIO, the manufacturing industry is ultimately the main driving force behind AI advances. CNC stands for Computer Numerical Control, which is a technology that uses artificial intelligence and sophisticated computers to control the movement of machines. This technology has been around for decades but it’s in the last couple of years that it’s getting much more popular.

Artificial Intelligence 186

Artificial Intelligence Innovation Big Data 186

Smart Data Collective

JULY 17, 2019

Americans are overwhelmingly concerned about online privacy. In December, a poll found that only 8% of Americans did not support any type of data protection policy. They believe that the government should do more to develop privacy safeguards. Unfortunately, the government is not going to take action anytime soon. If anything, we have taken a massive step back.

Big Data 179

Big Data Data Security Government Digital 179

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