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.
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.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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 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.
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: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
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.
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.
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.
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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.
Corinium
JULY 18, 2019
Tell us a bit about your background and how you ended up in your current role.
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.
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?
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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.
IBM Big Data Hub
JULY 15, 2019
Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions that help people prepare and recover from natural disasters.
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.
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
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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.
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.
Dataiku
JULY 15, 2019
Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need to quickly respond to market changes.
IBM Big Data Hub
JULY 17, 2019
Capitalogix is a hedge fund, but it’s really a data science firm in disguise. They work to understand and exploit capital markets by building custom data science models that can analyze massive amounts of data from as many sources as possible.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
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.
Teradata
JULY 14, 2019
Analytics can help enterprises answer the toughest business questions by leveraging all of the data across an organization.
Jedox
JULY 18, 2019
“Transformation!” is the clear message from Chief Financial Officers. To do that we must address the mindset of the entire FP&A team. Operating within your organization’s framework, as we discussed in the previous posts in this blog series , will frame how your FP&A team carries out this mandate. We asked several Financial Planning and Analysis professionals to share their perspectives on the mindset needed for success now and in the future.
TDAN
JULY 16, 2019
There are a lot of big changes on the horizon in the world of technology. It seems like in the past few years things have already changed so dramatically that there’s no way we could be pushed any further from our comfort zone. In reality, that’s exactly what’s happening. Who’s going to face the biggest […].
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