Medium 56ee3fe4 09c8 4915 ae9c 6049918371d1

Four Most Important Success Factors in any Machine Learning Project

A machine learning project is first and foremost a software project. Many data scientists have little experience building well architected, reliable and easy to deploy software. When you build a production system, this will become a problem. As a rule of thumb, engineers can pick up data science skills faster than data scientists can pick up engineering experience. If in doubt, work with the python engineer with 5+ years experience and a passion for AI. If you are a product manager and want to build something with machine learning, here’s a list of the 4 most important things to keep in mind.

Medium 198e2bf2 67b5 4a02 93cf 39aedd3f9d51

"Your Expertise Is No Longer Needed" - Sincerely, DEEP Learning.

What does the human expert lack? Why can the world's best experts be beaten using subject naive methods? A human can't weigh historical observations fairly, they put too much weight on experience A and not enough on experience B. A human is also limited to their own personal experience and wisdom, where a computer can learn from more data than a human can see in a lifetime (medical imaging being a great one). Lastly, a computer can overtake a human expert's ability to experiment, do feature discovery, and validate new ideas. 

Medium 22128e08 f145 4a31 86cf 66519b71b020

Start-Ups should spend more time on making a good first impression - 5 things you can do to kick-start your brand

You have worked hard to move your new company forward. Do not let a bad first impression hurt your chances for success. Spend some time to create a brand that communicates effectively with your audience. Starting simple is fine but start with a solid foundation. Be clear, consistent, focused on outcomes and follow best practices. So, start-Ups should spend more time on making a good first impression, and here are 5 things you can do to kick-start your brand

Medium 63f98d69 6b4e 4f2a 8321 16465b5a5535

Why digital transformation? Challenge vs opportunity

What constitutes ‘digital transformation’ and how does a company become fully digitally transformed? Put simply, it is the integration of new advanced technologies, such as Internet of Things (IoT) or cloud computing, into business to increase efficiency, productivity, and ultimately improve a business’ bottom line. As for the latter point, it could be argued that no business will ever complete a journey of digital transformation. It is a perpetual journey, influenced by the fast-paced world we live in today and driven by constant innovation and radical ideas.

Medium 45a5e6c7 f846 463f bf4d 52f92495341c

Ten Python File System Methods You Should Know

In this guide, we’ll look at methods from the os and shutil modules. The os module is the primary Python module for interacting with the operating system. The shutil module also contains high-level file operations. For some reason, you make directories with os but move and copy them with shutil. There are many ways to copy files and directories in Python. Go figure.

Medium 13dc6137 27ac 4280 844d 70dce91dee59

If You’re a Chief Data Officer and All you Care about is Data, You’re in Trouble

What should Chief Data Officers be doing to effectively drive results? Surprisingly, the answer has little to do with the data itself. These days, no one can afford to ignore data. Of course, the chief data officer should try to maximise use of shared systems and resources, but their focus is to address the priorities of each line of business (LOB) while ensuring they’re broadly aligned with the business overall. Here are the main roles a chief data officer needs to fill, outside of the traditional security and infrastructure tasks, to help their organization succeed with data.

Medium 024fb4b5 042f 4330 aa5e fc1bd30eaed5

Three common data science career transitions, and how to make them happen

A lot of data science career advice follows a similar law: there are posts aimed at complete beginners, posts aimed at veteran software engineers, and posts designed to help junior data scientists hone their skills. All of this noise makes it difficult for many aspiring data scientists to know where to invest their time as they look to transition into the field. At the end of the day, whether you’re a software engineer, a recent grad, or a complete beginner, a key question to ask yourself is what career trajectories are closest to you in parameter space. 

Medium 0ffd7b86 b4c0 4928 acfc b5ab025d18ae

Top IoT Trends in 2019

The Internet of things is anything related to devices which are connected to the internet. We all are surrounded by such devices in our routine life. This is the reason why IoT development trends have shown remarkable growth in recent years. The continuous explorations by IoT development companies are the reason behind the constant changes in the Internet of Things Trends. Here are Top IoT trends in 2019. These Internet-of-Things trends in 2019 will surely upheave our lifestyle in some new surprising ways.

Medium a3919c71 468f 4afe b10e faf1772e4ff5

The cold start problem: how to break into machine learning

Some steps are hard to take on your own. Schools aren’t good at teaching data prep, ML devops, or networking. Most people learn those things on the job or from a mentor if they’re lucky. Many people never learn them at all. But how do you bridge that gap in the general case? How do you get a job without experience when you need a job to get experience? So to help everyone at the same time, I’ve put together a progression that you can follow from any starting point to actually become a machine learning engineer.

Medium 122d1a03 d11a 4549 bab6 e8f56a866765

Four Quality Management Technology Trends

It’s more beneficial to invest in trends that are truly going to have an impact on your business and bottom line. Here are four key trends in quality management technology that you should be paying attention to. These four quality management technology trends are here to stay and will also have a direct influence on the future of the field. It's essential, then, that you pay them the proper attention and consideration. The sooner you implement these practices, the better off your entire organization will be.

Medium 2a63e60f 8fe1 4808 9d28 511f6d493d02

Will Edge Computing IIoT solutions be a real trend in 2019?

The benefits of using Edge Computing / Machine Learning solutions are very attractive to manufacturers because allows minimize latency, conserve network bandwidth, operate reliably with quick decisions, collect and secure a wide range of data, and move data to the best place for processing with better analysis and insights of local data. The ROI in such IIoT Solutions is very attractive. But they will never get these benefits if they do not step up and change your outdated attitude and start soon their IIoT journey aimed at to provide tangible and innovative business value.

Medium 526ce337 c14f 48a9 b59f 25a27b8b45b1

Why now this Artificial Intelligence boom?

John McCarthy coined the term Artificial Intelligence in the 1950s, being one of the founding fathers of Artificial Intelligence along with Marvin Minsky. Also in 1958, Frank Rosenblatt built a prototype neuronal network, which he called the Perceptron. In addition, the key ideas of the Deep Learning neural networks for computer vision were already known in 1989; also the fundamental algorithms of Deep Learning for time series such as LSTM were already developed in 1997, to give some examples. So, why now this Artificial Intelligence boom?

Medium b94ec9a9 ac00 42d3 8afa 6ff6331b3492

IoT’s Real Impact on Business

As the adoption of IoT began to ramp up, more things became apparent — particularly regarding the benefits it can offer the average operation. By utilizing the data collected and transmitted from connected devices, companies have seen unprecedented efficiency and cost improvements, but also many boons to oversight. These changes are largely positive, and they’re reported across all industries, from manufacturing to modern health care. However, all this change means the entire business world is in a constant state of flux, and it will stay that way, at least for the foreseeable future.

Medium 89d17e7e efbe 4bcf 83ee e1d10fbc5762

What no one will tell you about data science job applications

You have trouble finding a data science job, but don’t understand why? For every person who has a question, and asks it, there are ten people who have the same question but don’t ask it. If you’re one of those ten, then this post is for you. Hopefully, you’ll find it helpful.

Medium b0afadd4 d868 44b0 ab03 1666ef257127

Top Software Development Trends in 2019

Software development is one of those fields which is changing at an extremely fast pace. Every year brings some brand new surprises for software developers. 2018 was the year of complete acceleration for the software development companies worldwide. From blockchain to Artificial intelligence, software technologies have remained a hot topic throughout the year.There are many software development trends in 2019 that need your attention. We are discussing some of the most popular ones here

Medium d38516fa 066e 47f9 a779 decb1ae8030f

Seven Tech Hiring Trends for 2019

The tech industry is booming in America and with unemployment the lowest it’s been in 50 years, companies are clamoring to scoop up well-qualified talent for non-executive tech roles. It probably doesn't come as a surprise to you that tech is in demand. However, if the technology industry has taught us anything, it's that modern-day career development doesn't adhere to the rules of generations past. People change jobs more frequently and for different reasons than they once did. So how are today's top companies finding and acquiring tech talent? Here are seven trends we've noticed for 2019.

Medium 8b27603c c528 49ea a8d4 ff73cd83bf1d

Data Science Project Flow for Startups

What makes structure and flow of data science projects unique for a startup? Both managers and the different teams in a startup might find the differences between a data science project and a software development one unintuitive and confusing. If not stated and accounted for explicitly, these fundamental differences might cause misunderstanding and clashes between the data scientist and her peers. The aim of this post, then, is to present the characteristic project flow. Hopefully, this can help both data scientists and the people working with them to structure data science projects in a way that reflects their uniqueness.

Medium 46af6bdc e332 419d 814c bab7e420bf41

List Comprehension in Python

Lists are a basic building block for a developer in any language. Python is no different. However at first, list comprehension can sometimes seem confusing. Since it is not an available feature in all languages, it may also be a concept that is completely unfamiliar. Some popular languages that include list comprehension are JavaScript, Perl 6, C# and of course, Python. Today, we’ll take a look at exactly how list comprehension works in Python. 

Medium 15047cf0 cf6d 4891 acbc 50e6f6c8a701

Why 2019 Is the Year Your Company Needs ISO Certification

Knowing exactly where your company needs to tighten things up can be difficult. CEOs and executive teams spend large sums on consultants and evaluative tools to understand what exactly keeps their business from growing. To help businesses take the first step in this process, the International Organization for Standardization offers a set of standards you can build your company around and a certification process to ensure you're adhering to the policies and procedures outlined.

Medium 83e08ee4 a2c3 499c b3af b340a6660c98

AIOps and why IT should care

AIOps is an emerging technology that combines the usage of artificial intelligence with operations to help solve critical issues that can bring your business to its knees. AIOps solutions help organizations cut through the alerting noise and gain critical control by proactively managing the health and performance of their enterprise IT services. By applying data science and computational techniques, AIOps tools can accurately predict a range of incidents across infrastructure, common IT management tools, and enterprise processes - and resolve them autonomously. 

Medium 1dbbafea b185 483f 8bc9 477409aeeba1

Bots are yesterday's news

In order to evolve certain levels of business process automation, the software robot, or bot, was formed. This was a simplistic technology aimed at delivering automation. However, over the next 10 years, this resulted in companies having all these automated processes that weren't intelligent and that couldn't evolve themselves. The next evolution required to make BPA work better was intelligent bots, which is where we are today, with robotic process automation (RPA).

Medium 820897b2 6545 4fd2 a30d 70dfda2d4858

Introducing the AI Project Canvas

Creating an AI Project always involves answering the same questions: What is the value you’re adding? What data do you need? Who are the customers? What costs and revenue are expected? This post is part of an ongoing series aiming to educate Data Scientists in the area of customer-centric thinking and business acumen. We’re encouraging Data Scientists to get rid of the “Let’s implement this paper and see what happens”-attitude towards a “What value can we generate”-attitude. We’re entering the decade of AI implementation and need champions to productionalize Machine Learning models.

Medium c63a29bb 789b 4bf1 9309 433fb1698071

How Much Do Blockchain Jobs Pay?

Blockchain salaries have risen to be among the highest in the tech industry. The demand for blockchain talent is still strong. Despite the bear market and recent industry layoffs, the number of blockchain job postings have been on the rise, and searches for roles involving Bitcoin, Ethereum, blockchain and cryptocurrency have increased. Startups are offering top compensation packages, in particular for blockchain developers, as they compete for talent in an industry where supply is limited. The demand for blockchain talent has also grown as established companies.

Medium 9550f5fd 8516 472a 967d 6dc1f81a3c46

Augmented Reality: Market Potential and Practical Applications

The scope and capabilities of augmented reality has grown with leaps and bounds. In fact, every industry sector that is betting with digital transformation has augmented reality in their arsenal of digital tools. Augmented reality would blur the lines between physical and digital worlds. Once AR reaches maturity, users may not be able to differentiate between real and the virtual world. We would live in a seamless world where digital information blends naturally into the physical world thus creating an augmented world. Those days of augmented future is not far from now.

The Harvard Innovation Lab

Made in Boston @

The Harvard Innovation Lab