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.
Dataiku
JULY 17, 2019
Data teams spend a majority of their time cleaning and wrangling data in order to extract valuable business insights. The numbers should speak for themselves, so oftentimes data visualization and dashboarding is an afterthought at best or a distraction at worst. But the importance of visualization comes back to communication, and is an integral part of the business value in a model.
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Analytics Vidhya
JULY 18, 2019
Overview We look at the latest state-of-the-art NLP library in this article called PyTorch-Transformers We will also implement PyTorch-Transformers in Python using popular NLP. The post Introduction to PyTorch-Transformers: An Incredible Library for State-of-the-Art NLP (with Python code) appeared first on Analytics Vidhya.
BA 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
Advertiser: ZoomInfo
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
datapine
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.
O'Reilly on Data
JULY 15, 2019
A look at how guidelines from regulated industries can help shape your ML strategy. As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operation
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
JULY 18, 2019
It’s now clear that all parts of your business need to be CX focussed – not just the front office. Gateway Bank is an example of a company so obsessed with customer centricity that they recently promoted their CCO, Lexi Airey, to the top job – CEO. The organisation realised that the back office could have just as much impact on the lives of customers, if not more, than front office.
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.
O'Reilly on Data
JULY 18, 2019
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data. In this episode of the Data Show , I spoke with Roger Chen, co-founder and CEO of Computable Labs , a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016.
Analytics Vidhya
JULY 14, 2019
Overview Learn how to build your very own speech-to-text model using Python in this article The ability to weave deep learning skills with NLP. The post Learn how to Build your own Speech-to-Text Model (using Python) appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Corinium
JULY 18, 2019
Tell us a bit about your background and how you ended up in your current role.
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.
Dataiku
JULY 18, 2019
Big data. The term means many things to many people. The best definition I've heard is data that won't fit on your laptop. With 1 terabyte hard drives available by "fit" I mean it's too big to process on your laptop. A top-of-the-line MacBook pro packing a quad-core processor and 16GB of RAM can analyze a lot of data, however it's easy to surpass even those mighty specs.
Analytics Vidhya
JULY 17, 2019
Overview Looking to get started with Natural Language Processing (NLP)? Here’s the perfect first step Learn how to perform tokenization – a key aspect. The post How to Get Started with NLP – 6 Unique Methods to Perform Tokenization appeared first on Analytics Vidhya.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Corinium
JULY 16, 2019
We’re just at the starting line of AI and already CDAOs are grappling with ethical dilemmas that create risk at all organisational levels. Poor AI governance can lead to significant reputational, market and financial risk. CDAOs will need to educate and work with boards and senior executives to develop new governance methods in a rapidly expanding risk universe.
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.
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.
Dataiku
JULY 19, 2019
To compete and stay relevant in a rapidly changing world, businesses need to embrace the idea of using data and AI for their marketing activities. This also means a changing dynamic in the activities and skills that marketers will need to have and to execute in order to implement marketing AI solutions. But it doesn't mean all marketers need to become data scientists overnight or vice versa - instead, the focus should be on collaboration.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Corinium
JULY 15, 2019
The Zendesk Customer Experience Trends Report 2019 found that customer expectations are 46 percent higher than. last year, and 59 percent of agents report that customers’ expectations have risen in the last year.4 Whatever way you look at it, customers want more. But companies are not delivering. Three key technology trends have helped international companies in the Asia Pacific step up and meet the challenge head on.
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.
Teradata
JULY 14, 2019
Analytics can help enterprises answer the toughest business questions by leveraging all of the data across an organization.
IBM Big Data Hub
JULY 18, 2019
In business, aspiring to world-class is not enough when your competitors are already there. About half of the companies listed on the S&P 500 will be replaced over the next 10 years. Compared to the past, what’s unique abou t the disruption happening today is the rapid pace of change. During past revolutions, businesses had many years – even decades – to adapt.
Advertiser: ZoomInfo
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
DataRobot
JULY 15, 2019
“The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data.” ( Forbes ) Organizations around the world are leveraging this explosion of data to solve some of their biggest business problems.
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.
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?
Teradata
JULY 16, 2019
Teradata Vantage's NewSQL Engine's performance-enhancing options include column-row hybrid partitioning. Find out how to take advantage of this great feature.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Octopai
JULY 17, 2019
Data has become the norm. It’s literally everywhere, but are we really able to fully understand what our data is telling us? Are we even seeing the whole picture? Probably not. Unless you’re using a tool that provides automated data lineage , the story you’re able to glean is, well, let’s just say incomplete. Why? Keep reading to find out. Let’s Define Data Lineage.
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.
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
Jet Global
JULY 17, 2019
Almost every small business starting out relies on Microsoft Excel to manage separate business functions. It’s an excellent business tool that is free that everyone already knows how to use, so why not? When it comes to inventory management, spreadsheets can be used for everything from manually updating when shipments arrive and are shipped out, to determining what items are in stock, when to replenish, and how much to order.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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