2017

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Machine Learning & Data Analysts: Seizing the Opportunity in 2018

Dataconomy

Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. Yes, it’s true – enterprises worldwide have. The post Machine Learning & Data Analysts: Seizing the Opportunity in 2018 appeared first on Dataconomy.

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OMSCS CS6300 (Software Development Process) Review and Tips

Eugene Yan

OMSCS CS6300 (Software Development Process) - Java and collaboratively developing an Android app.

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Why Momentum Really Works

Distill

We often think of optimization with momentum as a ball rolling down a hill. This isn't wrong, but there is much more to the story.

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Training a new entity type with Prodigy – annotation powered by active learning

Explosion

In this video, we’ll show you how to use Prodigy to train a phrase recognition system for a new concept. Specifically, we’ll train a model to detect references to drugs, using text from Reddit.

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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“Machine Washing” is a symptom of AI snobbery

DataRobot Blog

After attending this year’s HR Tech World in Amsterdam, journalist Phil Wainwright made an interesting observation about a trend amongst product companies. He explained that they’re layering in a superficial layer of artificial intelligence (AI) — e.g., an Alexa skill — into their products just to be able to claim that their product uses AI. He calls this trend “Machine Washing.”.

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Building Prodigy: Our new tool for efficient machine teaching

Ines Montani

I’m excited and proud to finally share what we’ve been working on since launching Explosion AI , alongside our NLP library spaCy and our consulting projects. Prodigy is a project very dear to my heart and seeing it come to life has been one of the most exciting experiences as a software developer so far. A lot of the consulting projects we’ve worked on in the past year ended up circling back to the problem of labelling data to train custom models.

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How to defend your website with ZIP bombs

Hacker News

[update] I'm on some list now that I have written an article about some kind of "bomb", ain't I?

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Teaching your fish tank LEDs new tricks

Christian Haschek

**In this project I'll upgrade a cheap fish tank LED light to be dimmable, controllable via Wifi a

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Algorithms will out-perform Doctors in just 10 years time

Dataconomy

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.

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Why large financial institutions struggle to adopt technology and data science

Dataconomy

Data innovation and technology are a much discussed but rarely successfully implemented in large financial services firms. Despite $480 Billion spent globally in 2016 on financial services IT, the pace of financial innovation from incumbents lags behind FinTech which received a comparatively puny $17 Billion in investment in 2016. What. The post Why large financial institutions struggle to adopt technology and data science appeared first on Dataconomy.

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15 Modern Use Cases for Enterprise Business Intelligence

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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Understanding the value of your customer: CLV 101

Dataconomy

At some point, almost every company faces questions like How good are the customers that we acquire? How do they differ from each other? How much can we spend to encourage their first or next transaction? As a measure that determines the amount of profit a customer brings over the. The post Understanding the value of your customer: CLV 101 appeared first on Dataconomy.

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AI – The Present in the Making

Dataconomy

For many people, the concept of Artificial Intelligence (AI) is a thing of the future. It is the technology that is yet to be introduced. But Professor Jon Oberlander disagrees. He was quick to point out that AI is not in the future, it is now in the making. He began by mentioning Alexa, The post AI – The Present in the Making appeared first on Dataconomy.

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Three Things Data Scientists Can do to help themselves and their organizations

Dataconomy

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.

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The Impact of Big Data on Banking and Financial Systems

Dataconomy

Today, most banking, financial services, and insurance (BFSI) organizations are working hard to adopt a fully data-driven approach to grow their businesses and enhance the services they provide to customers. Like most other industries, analytics will be a critical game changer for those in the financial sector. Though many BFSI. The post The Impact of Big Data on Banking and Financial Systems appeared first on Dataconomy.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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How Deep Learning is Personalizing the Internet

Dataconomy

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a. The post How Deep Learning is Personalizing the Internet appeared first on Dataconomy.

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Big Data for Humans: The Importance of Data Visualization

Dataconomy

Everyone has heard the old moniker garbage in – garbage out. It is a simple way of saying that machine learning is only as good as the data, algorithms, and human experience that goes into them. But even the best results can be thought of as garbage if no one. The post Big Data for Humans: The Importance of Data Visualization appeared first on Dataconomy.

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How Machine Learning is Changing the Future of Digital Businesses

Dataconomy

According to the prediction of IDC Futurescapes, Two-thirds of Global 2000 Enterprises CEOs will center their corporate strategy on digital transformation. A major part of the strategy should include machine-learning (ML) solutions. The implementation of these solutions could change how these enterprises view customer value and internal operating model today.

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Intro to Machine Learning: 10 Essential Algorithms For Machine Learning Engineers

Dataconomy

It is no doubt that the sub-field of machine learning / artificial intelligence has increasingly gained more popularity in the past couple of years. As Big Data is the hottest trend in the tech industry at the moment, machine learning is incredibly powerful to make predictions or calculated suggestions based. The post Intro to Machine Learning: 10 Essential Algorithms For Machine Learning Engineers appeared first on Dataconomy.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Big Data Is Revolutionizing The Way We Develop Life-Saving Medicine

Dataconomy

Big data sets are so complex and large that common data processing tools and technologies cannot cope with them. The process of inspection of such data and uncovering patterns is called big data analytics. The basic question which arises in our mind is, “In what way is the drug discovery. The post Big Data Is Revolutionizing The Way We Develop Life-Saving Medicine appeared first on Dataconomy.

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Data Analytics Is The Key Skill for The Modern Engineer

Dataconomy

Many process manufacturing owner-operators in this next phase of a digital shift have engaged in technology pilots to explore options for reducing costs, meeting regulatory compliance, and/or increasing overall equipment effectiveness (OEE). Despite this transformation, the adoption of advanced analytics tools still presents certain challenges. The extensive and complicated tooling.

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Infographic: A Beginner’s Guide to Machine Learning Algorithms

Dataconomy

We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad. The post Infographic: A Beginner’s Guide to Machine Learning Algorithms appeared first on Dataconomy.

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What is really driving public opinion? – The next level in data analytics

Dataconomy

Agility and reactivity. These are two words more likely now than ever to feature in a corporate strategy session. Today’s business landscape is, after all, highly dynamic: increasing competition, margin pressures and the threat of disruptive innovation all conspire to erode the market shares of the complacent. The public sector. The post What is really driving public opinion?

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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4 data-driven ways to digitize your business

Dataconomy

In today’s digital landscape, customers expect you to deliver products and services in a fast and efficient manner. Heavyweights like Amazon and Google have set a bar in terms of operations, and they’ve set it high. An increasing need for more streamlined and efficient processes, combined with advancing technologies has. The post 4 data-driven ways to digitize your business appeared first on Dataconomy.

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25 Big Data Terms Everyone Should Know

Dataconomy

If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever. Let’s get started: Algorithm: A mathematical formula or statistical process used to perform an analysis of. The post 25 Big Data Terms Everyone Should Know appeared first on Dataconomy.

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How Faulty Data Breaks Your Machine Learning Process

Dataconomy

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks. The post How Faulty Data Breaks Your Machine Learning Process appeared first on Dataconomy.

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What is revolutionizing Machine Learning for the Enterprise?

Dataconomy

As happens when boundless potential meets hard reality, enterprises now face a long, painful slog through the trenches of disillusionment and disappointment as they pursue the business transformation promised by Machine Learning for the Enterprise. The machine learning hype cycle is in overdrive, inflating expectations for magically easy and automated solutions to complex business problems decades.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Banks and fintechs, instead of banks versus fintechs

Dataconomy

In 2016, global market uncertainty seemed to make investors somewhat more cautious, thanks to the results of the votes in the UK and the USA. However, fintech’s stellar run did not come to a halt. According to the February report by KPMG, venture capital investment in the space rose 7%, The post Banks and fintechs, instead of banks versus fintechs appeared first on Dataconomy.

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If you care about Big Data, you care about Stream Processing

Dataconomy

As the scale of data grows across organizations with terabytes and petabytes coming into systems every day, running ad hoc queries across the entire dataset to generate important metrics and intelligence is no longer feasible. Once the quantum of data crosses a threshold, even simple questions such as what is. The post If you care about Big Data, you care about Stream Processing appeared first on Dataconomy.

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The Business Implications of Machine Learning

Dataconomy

As buzzwords become ubiquitous they become easier to tune out. We’ve finely honed this defense mechanism, for good purpose. It’s better to focus on what’s in front of us than the flavor of the week. CRISPR might change our lives, but knowing how it works doesn’t help you. VR could. The post The Business Implications of Machine Learning appeared first on Dataconomy.

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Why Smart Contracts Will Bring Blockchain to the Masses

Dataconomy

Blockchain technology has rapidly asserted itself as one of the most potentially disruptive technological forces of the 21st century. Just like the internet has had far-reaching implications and touched upon nearly every aspect of modern life, blockchain architecture can create a wave of radical changes similar to those brought on by. The post Why Smart Contracts Will Bring Blockchain to the Masses appeared first on Dataconomy.

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How To Align Product Management And Supply Chain Operations For Successful Product Launches

Speaker: Shalini Dinesh

Effective cross-functional collaboration and communication heavily influence product launch success. Research shows that as many as 70% of product launches fail due to inadequate coordination among stakeholders, including supply chain, product management, legal, marketing, and change control teams (Gartner, 2022). The 2023 Supply Chain Insights Report highlights that 60% of supply chain disruptions are caused by poor communication and misalignment among cross-functional teams.