Medium a7ef15a4 523b 4d24 a009 d172dfe6b1dd

How Big Data Can Improve Business Strategies

Big data helps firms unearth information that consumers and clients may not reveal via common market research tools such as surveys and questionnaires. In some cases, big data provides answers to questions that the research tools of the past could never hope to reveal. Big data analysis can help business leaders figure out whether their online presence is helping or hurting their brand. While big data reveals hidden patterns, they do not always result in actionable insights. This makes it important for marketers to understand the meaning behind the results. 

Medium cc3cf1b3 c8fe 4fc8 a4f6 7b592dcea316

Don’t fear AI’s children: Prioritized list of immediate AI challenges

AI creates its own children that outperform humans, but this inaccuracy is all too often because AI researchers and AI practitioners do not participate in these debates. Using the terms such as “child” and describing the output of this network as smarter than what humans would design is sure to make for some good headlines. However, describing what happened as “algorithm uses a set of predefined rules to achieve a slightly better performance” is nowhere near as scary but it is probably more accurate.

Medium 27e1ced2 67e8 4159 9e84 5a30e9a52ee0

What Is Microservices on AWS and Why to Use it

Welcome to this series of tutorials around Microservices hosted on AWS, we will start out with the basics and follow up with more advanced tutorials, if you have any special requests for a specific topic, just let me know and if enough people shout out about it, I will cover that topic.

Medium dc51ae07 6cb9 49d0 a3a9 8ee49f29fc32

How the good old sorting algorithm helps a great machine learning technique

 In this article, we show how the simple sorting algorithm is at the heart of solving an important problem in computational geometry and how that relates to a widely used machine learning technique. Although there are many discrete optimization based algorithms to solve the SVM problem, this approach demonstrates the importance of using fundamentally efficient algorithms at the core to build complex learning model for AI. A dizzying array of clever algorithms are being developed continuously for solving ML problems to learn patterns from streams of data and build AI infrastructure.

Medium 18df4a47 5e54 4ee4 a0a2 b55abf267826

Capsule Neural Networks (CapsNets)

CNNs (convolutional neural networks) are one of the reasons deep learning is so popular today, they can do amazing things that people used to think computers would not be capable of doing for a long, long time. But they have their limits and some fundamental drawbacks and that is why Capsules neural networks are picking up pace, which introduce a new building block that can be used to overcome these limits & drawbacks of CNNs. Capsule networks (CapsNets) are a hot new neural net architecture that may well have a profound impact on deep learning, in particular for computer vision.

Medium da4562cb dac5 4444 959f fdd592ec993f

How to choose a competent artificial intelligence solution provider

Building an in-house AI development team is not always feasible. AI engineering resources are scarce and expensive. Moreover, setting up and managing R&D is going to take a lot of time a company could spend on developing its core expertise. And although finding a qualified AI solution provider is not easy, outsourcing offers tangible benefits for businesses.So when choosing an AI development vendor, consider its ability to allocate the necessary resources, its experience in delivering AI solutions, knowledge of your domain, technological expertise as well as its capabilities to satisfy your business requirements.

Medium 28de6766 406f 40bb a274 e94822de629c

AI for sales and marketing: Relevant or creepy?

With the advent of AI, marketers are moving towards mass personalization and mass hyper-personalization. But the key question is – is it relevant or creepy? Are you using AI effectively and sensibly, so as to not freak out your customers but delight them instead? Unless you discover the right signals, you will invariably be looking at the wrong insights and interpretations, leading to bad intelligence. A significant difference, between coming across as creepy and relevant, depends on how to build a conversation using the insights you have gathered. 

Medium 7761057c fa95 4688 8e5b 75333763df35

Expert Interview - Dr. Rich Huebner On Big Data And Its Impact

Big Data has been the talk of the technological and business world for a while now. While we already see many businesses leveraging from it and its impact on processes, we decided to bring forward an expert opinion on Big Data. Here's our conversation with Dr. Rich Huebner on the same. 

Medium f36cda15 a966 4d66 8dca fafb3ebbcc7e

Three requirements of a successful long-term IoT strategy

Before launching an IoT initiative, organizations need to have a comprehensive strategy in place. Otherwise, there’s a risk of overspending, exposing data to security and privacy threats, limiting the payback from IoT technologies, as well as other negative outcomes. Without three key elements — strong leadership, a sensible business plan, and a commitment to culture change — all the sensor, networking and data analytics technology in the world is not going to deliver optimum results. Your IoT initiative will likely face many challenges before you can proclaim it a success. Here are some important considerations to keep in mind.

Medium 90603d5b a74d 437c 8141 7b5b0a742663

The combination of deep learning and insurance

The insurance industry collects and generates a large volume of data on a daily basis, including a customer’s health records, sensor data from vehicles, confidential legal papers, to name a few. The data, if analyzed thoroughly, gives actionable insights that the insurance industry can use to improve its services. Deep learning comes with neural networks that are capable of analyzing swarms of data and learning from it. Deep learning in insurance not only enhances customer experience but also helps the industry detect fraudulent activities.

Medium a7316c61 4855 48d3 965d d887091c4207

How Small Businesses Can Utilize Data to Expand Their Reach Without Worrying Customers

With access to data analytics and big data, companies know more about their customers than ever before. For corporations, this has been a huge boon, allowing them to target local markets online. On the other hand, small businesses have had trouble integrating effective customer analysis into their marketing strategies without alienating their local customer base. However, showing love to the local community while harnessing data analytics to expand outreach can help a small business compete in the strange new landscape of the digital age.

Medium 4193f573 90c0 45a1 992b 5091aeb45645

The Ten Mining Techniques Data Scientists Need For Their Own Toolbox

Data scientists are often tasked with analyzing data to help the business, and this requires a level of business acumen. It’ll be extremely valuable for any aspiring data scientists to learn data mining — the process where one structures the raw data and formulates or recognizes the various patterns in the data through the mathematical and computational algorithms. This helps to generate new information and unlock various insights. Here are 10 mining techniques that I any data scientists should learn to be more effective while handling big datasets.

Medium ada6419c 8570 4ac0 8937 19f410f26b91

All About the New Data Scientist Job

Like any other career path, there are benefits and drawbacks to working as a data scientist. Data scientists must acquire a large amount of training to grow proficient in their field. Upon entering the workforce, some specialists are tasked with rebuilding a company’s information structure from scratch. At other firms, institutionalized executives may want the benefits of the latest information technology, but aren’t willing to provide the requisite funding to launch a full data initiative. To prepare the next generation of data science professionals, forward-thinking academics are working to promote a learning environment where students train in near real-world environments and conduct interviews with field experts. 

Medium a1b5079b 8797 46a6 bea3 f126ae3553aa

How to Pick the Best Business Intelligence Tool

In today’s world, you have a lot of Business Intelligence (BI) tools to pick from. Some are free and are open source others can cost you thousands of dollars per month. Some have automatically created dashboards while others require hours of set-up and know how to get started. If you are looking to implement a BI tool in your company or department here are some questions to ask/consider when making your decision: 

Medium 750228e9 d16c 47ad bce1 fb3e4e6ac1f3

Why we should focus on weak artificial intelligence for the moment

Spurred by the capabilities of deep learning, and how it has so far defied the norms set by traditional software, many organizations and visionaries are thinking once again that strong AI is on the horizon and want to catch it before others do.  But while all this talent focuses on finding a way to create strong AI that can compete with the human brain, we’re missing out on plenty of the opportunities and failing to address the threats that current weak AI technology presents.

Medium f1e4045c 0864 4aad a251 19c48bcb4b1b

Cybercrime Is Skyrocketing as the World Goes Digital

If cybercrime were a country, it would have the 13th highest GDP in the world.  The global crime economy has become a self-perpetuating organism — an interlinked web of profit where the boundary between the legitimate and illegitimate is often unclear. Today, engaging in cybercrime is as simple as legitimate e-commerce. The dependency on the availability and performance of IT infrastructure among legitimate enterprises is increasing heavily, which makes them more vulnerable to breaches that can wreak havoc on business. Cybercriminals are clearly adept at leveraging existing platforms for commercial gain.

Medium 25a0113c 67ef 4b0c 8dbe d86509b6ea93

How much mathematics does an IT engineer need to learn to get into data science/machine learning?

A great many traditional IT engineers are enthusiastic about learning/contributing to the exciting field of data science and machine learning/artificial intelligence. However it will be incomplete in your preparation for having solid grasp over machine learning or data science techniques without having a refresher in some essential mathematics. Then the question is: What are the essential topics/sub topics of mathematics that an average IT engineer must study/refresh if (s) he wants to enter into the field of business analytics/data science/data mining? How much mathematics does an IT engineer need to learn to get into machine learning?

Medium c5472baa 46b9 4f5e b2c9 77a0e0651948

Seven Criteria for Choosing Big Data Developers

Professional big data developers are mostly valued when they have a strong technical background and great problem solving skills. Furthermore, the knowledge of data analysis and business requirements analysis are essential for developing a clear understanding of the business needs. Specialists with such skill sets may handle diverse sources and huge amounts of raw data seamlessly and provide valuable insights from it. This enables big data engineers to use technical solutions that leverage innovative technologies to drive real benefits for your business. So which criteria to use when choosing big data developers?

Medium f45a8202 869a 4ef9 beb6 de866ff83358

Top Five Use Cases for Data Enrichment

Customer data comes from varied sources such as website forms, social media, email lists, and more. We all come across fake lead information, every now and then. Therefore, as a marketer, this data is not enough. You neither know if the prospect falls under your target industry, organization size, job title, revenue, etc. nor do you know where they are in their purchase cycle. This is where data enrichment as a practice comes into play. Data enrichment apps fill up the gaps of inadequate data or inaccurate information. 

Medium 8afacc59 a42f 42c3 b8c0 858ce5459d7b

How To Get Your First Job As A Data Scientist or Analyst

You’ve arrived here because your goal is to get your first job as a data scientist. Currently, there are more data science jobs than there are people to fill them, so these types of jobs are in big demand today. Now becoming a data scientist is not going to happen overnight, but there are some core skills and education that you will need to land that first data scientist job. Here are my thoughts on what you can do land the first role as a data scientist or data analyst.

Medium dde8f572 96c5 4f63 a08f 73ff80887f3a

Avoiding industrial IoT digital exhaust with machine learning

Industrial enterprises typically look to systems integrators to bridge the gaps with custom software development.  A few IoT vendors are now beginning to build more fully-integrated IoT service creation and enrichment platforms (SCEPs), designed to support an AFML IIoT architecture. SCEPs allow complex IoT architectures, applications and orchestrations to be efficiently created and evolved with minimal programming and administrative effort. These next-generation IoT platforms will help companies eliminate IoT data exhaust and harness IIoT data for use as a strategic business asset. 

Medium 607b07e4 c957 454c 8dab 3f0a76958d11

Big Data and VR Are Rebuilding Architecture

Data is providing feedback to every corporation, which can then use the data to better themselves and get more business. Architects are no different and are coming to use technology in the same ways. With VR improving daily, they can even show clients exactly what they're paying for before any construction begins. In short, now is a special time to be an architect. Technology working for you and becoming a tool for business is exactly what the world has been waiting for.

Medium af556784 de3b 4dfc b526 aff0feb4b6c8

The Seven NLP Techniques That Will Change How You Communicate in The Future (Part 2)

In part 1, we introduced the field of Natural Language Processing (NLP) and the deep learning movement that’s powered it was introduced. We also walked you through 3 critical concepts in NLP: text embeddings (vector representations of strings), machine translation (using neural networks to translate languages), and dialogue & conversation (tech that can hold conversations with humans in real time). In part 2, we’ll cover 4 other important NLP techniques that you should pay attention to in order to keep up with the fast growing pace of this research field.

Medium b0a78b0d 19ef 444b 9c9e 61185693ba0e

Product Strategy: IT + OT = IoT

Internet of Things is partly about value creation, using the ability to communicate and control things over connections and automating how we get work done. Products with embedded intelligence talking to the cloud bring the power of remote control to everyday things, much like the iPhone and iCloud has done. All this requires information technology (IT) to be embedded in our business systems that let us operate our businesses. In other words, it is operational technologies (OT) with IT inside. Ergo, IT + OT = IoT in a technological sense.

Boston city bkg

Made in Boston @

The Harvard Innovation Lab