Dataconomy
OCTOBER 11, 2017
The power of Algorithms to calculate, contemplate and anticipate the needs of patients is improving rapidly and still has no sign of slowing down. Everything from patient diagnosis to therapy selection will soon be moving at exponential rates. Does that mean the end of doctors? Not quite. To better understand. The post Algorithms will out-perform Doctors in just 10 years time appeared first on Dataconomy.
DataRobot Blog
OCTOBER 9, 2017
Excel has long been the tool for business analysts to perform lightweight data preparation tasks – identifying outliers and errors, aggregating values, and combining data into one spreadsheet for analytics. However, all too often, business users waste time using Excel to manually profile and process data. Truth is that Excel is inadequate for enterprise projects that comprise large-scale data sets, involve group collaboration, and require data accuracy in a short amount of time.
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Depends on the Definition
OCTOBER 21, 2017
This is the third post in my series about named entity recognition. If you haven’t seen the last two, have a look now. The last time we used a conditional random field to model the sequence structure of our sentences.
Explosion
OCTOBER 15, 2017
As the release candidate for spaCy v2.0 gets closer, we've been excited to implement some of the last outstanding features. One of the best improvements is a new system for adding pipeline components and registering extensions to the Doc, Span and Token objects. In this post, we'll introduce you to the new functionality, and finish with an example extension package, spacymoji.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Dataconomy
OCTOBER 17, 2017
The importance of data science is only going to grow in the coming years. As we see the results of our data-empowered work take form in how we shape our businesses, our products and our own goals, we are beholden to take a reflective gaze at the relationship between our. The post Three Things Data Scientists Can do to help themselves and their organizations appeared first on Dataconomy.
Dataconomy
OCTOBER 19, 2017
Cognitive applications have become constant companions at our places of work. We expect smart systems to reduce repetitive workloads and support us in uncovering new Knowledge. As a result, data scientists and software engineers are applying various machine learning algorithms to finetune results and increase processing capabilities. At the same time, The post Why you should combine Machine Learning with Knowledge Graphs appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
OCTOBER 28, 2017
The standard user flows that currently dictate our interactions with computers are still quite limited, and are only a few years away from becoming unrecognizable. The process of changing this dynamic has already begun in the form of conversational interfaces. They will soon revolutionize how humans interact with machines. Just. The post Conversational commerce: from hype to reality appeared first on Dataconomy.
Dataconomy
OCTOBER 9, 2017
Image: SAP Cloud Platform Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. Currently, many firms still struggle with interpreting Hadoop’s software and are doubtful about whether or not they can depend on it for delivering projects. Even so, it’s. The post How to best Leverage the Services of Hadoop Big Data appeared first on Dataconomy.
Dataconomy
OCTOBER 13, 2017
A breakthrough in the field of natural language processing (NLP) has been achieved with the Cortical.io Retina engine, which elegantly solves numerous text-data processing problems faced by big businesses. The Retina engine surmounts the obstacles in dealing with terabytes of unstructured text data, thanks to a unique algorithm that is. The post An elegant solution to text-data processing problems appeared first on Dataconomy.
Dataconomy
OCTOBER 23, 2017
Airbnb turns homes and apartments into hotel rooms. GE transforms age-old manufacturing and industrial processes with a data-driven industrial internet platform. Innovative companies across the spectrum are developing new technologies to upend one industry after the next, leveraging rich data streams to outperform the old models, capture market share, and.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Dataconomy
OCTOBER 18, 2017
Blockchain’s reach has gone past FinTech and is now finding more applications in cybersecurity. Threats have become more rampant and complex. As such, cybersecurity firms are now looking to leverage these emerging technologies to provide improved solutions to these threats. Distributed denial of service (DDoS) attacks remain to be among. The post Is blockchain the ultimate weapon against cybercrime?
Dataconomy
OCTOBER 30, 2017
The Lufthansa Group is about much more than just transporting passengers and air freight from A to B. The subsidiary company I work for is called “Lufthansa Industry Solutions” (LHIND for short). As well as dealing with the exciting challenges faced by the airline industry within the Lufthansa Group, we. The post How Data Science is Serving Passengers at Lufthansa appeared first on Dataconomy.
Dataconomy
OCTOBER 27, 2017
Last year was full of exciting events. As soon as solarisBank received its banking license, a new chapter was opened for the company, as well as for me. We faced a tough but an exciting challenge: as a tech company with a banking license, we needed a strong BI team. The post I built my team at Data Natives appeared first on Dataconomy.
Dataconomy
OCTOBER 25, 2017
AI is already making inroads. For example, it’s now helping the human reviewers at The New York Times ferret out the trolls. Unlike the pessimistic view that robots will wipe us from the planet, this is a great example of how AI can ease our everyday lives. Instead of replacing. The post Banishing Trolls at The New York Times: How AI is Helping Humans Take Out the Trash appeared first on Dataconomy.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Dataconomy
OCTOBER 4, 2017
Semantic Graph Databases are now common in many industries, including life sciences, healthcare, the financial industry and in government and intelligence agencies. Graphs are particularly valuable in these sectors because of the complex nature of the data and need for powerful, yet flexible data analytics. Attributes, user attributes and. The post Triple Attributes: A New Way to Protect the Most Sensitive Information appeared first on Dataconomy.
Dataconomy
OCTOBER 27, 2017
In a world of wide-ranging big data, analytics that have advanced so much that they can even help scouting for the NBA, and with several high-profile data breaches in the UK and the US making worldwide headlines in 2017, it is clearer than ever before that big businesses needs to embrace. The post Targeting a Secure Future: iGaming as a Case Study appeared first on Dataconomy.
Dataconomy
OCTOBER 24, 2017
We have liftoff! Data Natives 2017 is just a couple weeks away, and we have never had this many industry-altering speakers, workshops and networking opportunities. Anyone working in Data Science would be wise to get tickets, especially if the fields of Mobility, Health and Government impact your work (which they do). From. The post 5 reasons to attend Data Natives 2017 appeared first on Dataconomy.
Dataconomy
OCTOBER 5, 2017
It’s that time of year again. Data Natives is ramped up and ready to go for its most impressive lineup of speakers to date. Whether focused on the fastest growing developments in fields such as FinTech and AI or examining the many minute ways that data sets can affect individuals, The post Announcing confirmed speakers for Data Natives 2017 appeared first on Dataconomy.
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.
Dataconomy
OCTOBER 2, 2017
Our ever-increasing dependence on the Internet to do business, entertain ourselves, communicate with others and shop for supplies has increased our amount of data exponentially. The vast amount of data needed to complete all of our activities requires a growing number of centers to safely store this information. Today, there. The post 4 Insights on the future of data centers appeared first on Dataconomy.
Dataconomy
OCTOBER 26, 2017
Image source: Carta Marina, ca 1544 – via Wikipedia This article was originally published on datawanderings.com Wanted: Data Scientist Data Scientists have it difficult to explain their jobs to their parents, and there is a high chance their employers might not understand what they do, either. The word has it that. The post An Analyst’s Adventures in Data Wonderland appeared first on Dataconomy.
Dataconomy
OCTOBER 20, 2017
Data Natives speaker Nasir Zubairi is the CEO of LHoFT Foundation (The Luxembourg House of Financial Technology), a public-private sector initiative that drives technological innovation for Luxembourg’s Financial Services industry and Luxembourg’s hub for FinTech startups. With two decades of experience in Financial Services, he has been particularly involved in.
Dataconomy
OCTOBER 21, 2017
As Data Natives 2017 approaches, so too does our unconference. Attending an unconference means having all the normal rules turned upside down. Lacking standardized topics, the event’s content comes from attendees writing whatever they want to hear about on a whiteboard. Next, EVERYBODY participates in the discussion in some way. Housed. The post DN2017: Making a solid pitch at the Unconference appeared first on Dataconomy.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Dataconomy
OCTOBER 16, 2017
It’s already less than two weeks until the Data Natives X India conference commences in none other than amazing Mumbai! With the event just around the corner and so many incredible speakers to see, we took the time to talk with one of our workshop heads, Vikramank Singh about his experience as a. The post Data Natives X India: Interview with Vikramank Singh from Facebook appeared first on Dataconomy.
Dataconomy
OCTOBER 23, 2017
Many a startup eventually reaches that critical point in their company’s development where CEOs and team leaders eventually end up asking themselves a sometimes perplexing question – has the time come to apply for a business credit card? What then naturally follows are other questions. Do I know the benefits. The post Some Pragmatic Ways To Find and compare business cards for startups appeared first on Dataconomy.
Explosion
OCTOBER 15, 2017
As the release candidate for spaCy v2.0 gets closer, we’ve been excited to implement some of the last outstanding features. One of the best improvements is a new system for adding pipeline components and registering extensions to the Doc , Span and Token objects. In this post, we’ll introduce you to the new functionality, and finish with an example extension package, spacymoji. spaCy is an open-source library for advanced Natural Language Processing in Python.
Dataconomy
OCTOBER 25, 2017
Big data is everywhere: in the cloud, in different locations, and in different online applications. Organizations need a single way of unifying, accessing, and controlling these distributed resources for the best possible operational efficiency. The problem with big data is that its sources are often very dissimilar. An Enterprise Data. The post Control Data Variety with an Enterprise Data Fabric appeared first on Dataconomy.
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.
DataRobot Blog
OCTOBER 3, 2017
Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. From speaking with attendees at the Paxata exhibit booth, partaking in networking events, and attending sessions, we observed three major trends: 1) Convergence of technologies.
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