Medium 8da8af9c 401c 4696 bd07 1d093f7c2146

Top Ten roles in AI and data science

When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? Applied data science is a team sport that’s highly interdisciplinary. Diversity of perspective matters! In fact, perspective and attitude matter at least as much as education and experience. If you’re keen to make your data useful with a decision intelligence engineering approach, here’s my take on the order in which to grow your team.

Medium 0c1b5967 b514 4619 b785 7246dd14c35a

Five Ways Companies Are Leveraging Big Data

Companies are sitting on some of the world’s largest reservoirs of valuable data, but many of them aren’t doing anything with it. It’s pretty hard to “do anything with it” if the data storage method doesn’t allow one dataset to talk to another. Or if tools like Hadoop and Spark process large amounts of data in a distributed fashion using commodity hardware”—can’t readily access said data to work their magic on it. Legacy institutions suffer from infrastructures predating the so-called information age. Yet these siloed institutions are the ones with the most to gain from the efficiencies and insights that data can bring.

Medium 8c22bee8 977c 43ba 9ade 31488185cad8

Product definition in the age of AI

One aspect that seems to be conspicuous by its absence is product definition of AI powered software. The reason is not too difficult to fathom. Defining AI products is hard, and there are no industry standard methodologies to speak of. As with any new paradigm shifting technology, it takes some time before the business processes can catch up. AI is no different. In the long run, I believe that a basic understanding of AI within the wider product development community is the solution.

Medium 84c93ce9 e261 4227 b49d 52c1c9dddabe

What are the Ingredients of a Terrific Data Story?

Look at the fundamental building blocks for a flexible presentation of data. The real power of this concept lies in uncaging your data from the confines of monolithic charts and setting them free, to tell their own expressive story. Though many visualization tools today don’t adopt a grammar of graphics approach in its entirety, that seems to be the way forward. Meanwhile, there are opportunities for people to start putting this to practice. This is so important that it must be made mandatory education for anyone working with data, whether it is analysts, designers, data scientists or journalists.

Medium 788c9412 6242 4072 b5c3 5f47b58a6519

How to Scale Conversational Artificial Intelligence?

Assistants and bots have reached a new adoption high.  However, many businesses are finding their projects harder to scale than they expected. The disappointment with some deployments triggered controversy whether to use Artificial Intelligence (AI)-powered assistants or to stick with rule-based bots. Assistants and bots are relatively easy to set-up. Companies can start rapidly but are finding it more difficult to scale and can become disappointed. Challenges maximizing conversational AI should not be construed as the technology not being ready for large deployments. Let’s explore what needs to be done to get the most out of conversational AI.

Medium 66881110 91b8 4c0e b222 850109f66c06

How Data Science is Driving Customer Satisfaction

Real world data science model is at the heart of our hedging business risk and increasing customer satisfaction. The ecommerce space is going through a major transformation like the Fintech industry, where one-to-one marketing and personalization are driving innovations through technologies like machine learning. Companies are now able to leverage this fascinating convergence of technology and consumer demand. Attaining personalized engagement with your consumer has to be on top of the list for every marketer in today’s crowded marketplace.

Medium e8d8e108 fbd1 46b7 b618 596852931daf

The Three Cores of Data Science

What exactly is data science? Data is to Data Science, as Elements are for Chemistry. The most basic thing you can have in Data Science is a data point. From data, data scientists can build a model to explain what is going on in the scenario we’re facing, validate it, and test it. But to do all this, we need a little bit of Computer Science, Math and Statistics, and Domains / Business Expertise.

Medium 2cb5c1ba 55dc 4194 adaa b5e2ddabfefd

The bias problem with artificial intelligence, and how to solve it

Most of the AI in use now is narrow AI, meaning it is only capable of performing individual tasks. Narrow AI does a good job at executing tasks, but it comes with limitations, including the possibility of introducing biases. AI bias may come from incomplete datasets or incorrect values. Bias may also emerge through interactions overtime, skewing the machine’s learning. Moreover, a sudden business change, such as a new law or business rule, or ineffective training algorithms can also cause bias. 

Medium 635d872e 58e0 47a5 9b44 488986b46af5

The Future of Smart Devices with Natural Language Processing

The Internet of Things and artificial intelligence are deeply connected. IoT systems produce big data, whereas, data is the heart of AI and machine learning. At the same time, as the rapid expansion of connected devices and sensors continues, the role of smart technologies in this space is growing too. Today, the applications of computer intelligence in IoT products vary. In this article, I’d like to focus on a specific domain of AI – Natural Language Processing.

Medium def1f0d2 0268 4703 98af c5993e60ca93

What can machine learning do for theoretical science?

How can machine learning help theoretical science? Machine learning can provide the mathematical scaffolding for scientific theories, to which theorists will then add meaning and the bridge to reality. However, before we can get there we will need to develop a much better understanding of machine learning. We will need to understand machine learning algorithms from general principles. Perhaps, it is time to start developing a real theory of machine learning.

Medium 2350e032 37d4 4388 bc57 56970ccc283e

The missing link in today’s Salesforce Automation (SFA)

Like any automation process, the most basic expectation from salesforce automation (SFA) tools is to improve efficiency and effectiveness of sales operations. Yet when you look closely, salesforce automation is usually a feature within your CRM or ERP tools to track and manage selling activities and reports, which is just not enough because not all selling are equal. While the sales numbers are not completely owned by marketing, the insights from marketing operations are a key component of sales force automation. 

Medium 909a5918 136a 4acd b966 f86196972640

How can Artificial Intelligence and Internet of Things Help Cyber Security?

There is a paradigmatic shift in the way digital is becoming part of our life: from digital payments, to the way we shop or even interact with each other. Today, there are millions of connected devices, smartphones, as well as Internet users. Such is the extent of this digital revolution. This is bound to have far-reaching implications for organizations as far as cyber security is concerned. Artificial Intelligence can provide the requisite sharpness to ward off IoT security issues.

Medium 751de9c5 ab26 49db 848b 918464a4227b

What is the Role of Predictive Analytics in the International Dropshipping Industry?

International dropshipping is a very promising business. Dropshipping entrepreneurs will find that there are lots of other untapped markets in other regions too. However, developing a profitable international dropshipping business is going to be much more complex than one that solely serves domestic customers. You will want to take advantage of predictive analytics to develop a lucrative funnel for your international customers. Here are some ways that predictive analytics can be invaluable.

Medium c8bee74d 3ad8 4dfc 865a 5b2d7cb7b44d

How artificial intelligence is changing business in every industry

People view the concept of artificial intelligence as one of humanity trying to play the role of God and being doomed to extinction rooted in hubris once the creation surpasses the creator. The reality, of course, is that we are using AI all the time now, at least in some form or another. AI has revolutionized almost every industry and will continue to do so. In this article, we will examine how AI has changed the app development, travel, debt, retail, and IT industries so that we may better understand how AI interacts with business.

Medium 80335dac c53c 4567 bc11 4916892bc497

Seeing double: why IoT digital twins will change the face of manufacturing

If your organization is planning to leverage the Internet of Things (IoT) to gather data from products and systems, see how goods are performing in the field, enhance factory production, or any other reason, it needs to become familiar with the concept of the “digital twin.” A digital twin is a digital replica of a physical asset, process, or system that can be used for a variety of purposes. The digital twin is intended to be an up-to-date and accurate replica of all elements of a physical object for which sensor data is available. 

Medium 95fa50fe 29c8 4ad1 a431 00330d15b269

How Big Data Can Improve Your Employee Productivity

Big data may be a good tool in helping increase employees productivity, but it’s the managers that wield those tools who have the biggest impact. It takes a gifted leader to truly listen and appreciate people. Balancing the needs of the business with the needs of the individual is always challenging. Data can be used to tear people down who aren’t performing, or it can be used to empower and improve performance. Management needs to take care of employees and create a positive environment by using data for good.

Medium beaec249 d959 4724 80fb 5ea7b0fb3ffa

How does Machine Learning work?

We can outline the typical process used in Machine Learning. This process is designed to maximize the chances of learning success and to effectively measure the error of the algorithm. A subset of real data is provided to the data scientist, and he experiments with a number of algorithms before deciding on those which best fit the training data. A further subset of real data is provided to the data scientist with similar properties to the training data. This is called the validation set. The algorithm is run on the test set and the error is calculated.

Medium b145931e 0617 40dc a176 46120fface20

AI, big data and the future of humanity

Those who control the data control the future not just of humanity, but the future of life itself because today, data is the most important asset in the world. The combination of data and computation creates a power that surpasses that of the most powerful spy agencies of past centuries. This is changing thanks to the rise of machine learning and deep learning, smart artificial intelligence software that can mine huge sets of data and find meaningful patterns that would go unnoticed to the biologically limited minds of human beings.

Medium 8b8e10d1 b393 42d7 b263 627762643a07

When Data Quality meets Context, Health Wearables Find Their Power

The divide between consumer health and fitness wearables, and medical-grade devices is slowly being bridged as technology evolves to offer advanced sensors and form factors that combine the best of two worlds. The result is vast amounts of higher quality data to feed the complex algorithms which not only deliver the personalized results the growing market of medical-grade devices, designed for consumer/patient access without the need of a prescription, is enabling a new category of remote patient monitoring. 

Medium 012628c6 c079 4195 bd4d a82a251cdf00

How blockchain can create self-sovereign identities

It’s time to take our identity into our own hands. As social creatures, we are the sum total of our interactions with others. Blockchain brings new opportunities to the field of identity management. It does so via the qualities of immutability and distributed access (anyone, anywhere in the world, can verify that information exists). Together, these enable a new paradigm of trustlessness: I don’t need to trust you, a stranger, because I trust the immutability of the blockchain. Blockchain-based peer-to-peer marketplaces are the future.

Medium 7438811f b547 4c3d 93b3 cb1867f98aab

M&A and Venture Strategy in the New Age

The convergence of IT and OT dramatically alters investing activities in corporate development. We’ve been seeing a new type of acquisition by large, vertical-specific OT players acquiring ventures focused on vertical industries. The new digital trajectory of OT affects the strategic investment considerations of a corporate development leader in OT or IT and the strategy of an entrepreneur. How do you align the new target’s investments with internal business unit’s goals? Is the new technology enabling multiple internal businesses? How should it be structured and measured internally if acquired?

Medium 80122da1 f571 4fdb bf89 49385838f571

What on earth is data science?

Data science is the discipline of making data useful. Data science is a ‘concept to unify statistics, data analysis, machine learning and their related methods’ in order to ‘understand and analyze actual phenomena’ with data. When all the facts you need are visible to you, you can use descriptive analytics for making as many decisions as you please. It’s through our actions — our decisions — that we affect the world around us. So it is making data useful.

Medium 38884a35 1f52 49d5 8557 15d0fecf795c

Companies may be fooling themselves that they are GDPR compliant

Many enterprises that scrambled to put a minimally GDPR-compliant set of privacy policies in place are now lulling themselves into complacency. A closer look at the steps taken by many of these companies reveals a GDPR strategy that it is only skin deep and fails to identify, monitor or delete all of the Personally Identifiable Information (PII) data they have stored. To address these risks, companies need a holistic strategy to manage their data—one that automates the process of profiling, indexing, discovering, monitoring, moving and deleting all of their data as necessary.

Medium 49188860 90c4 48bc 9413 c611d09b1cb1

How to overcome the potential for unintended bias in data algorithms

Algorithms have the potential to help us overcome rampant human bias. They also have the potential of magnifying and propagating that bias. I firmly believe this is an issue and it is the duty of data scientists to audit their algorithms to avoid bias. However, even for the most careful practitioner, there is no clear-cut definition of what makes an algorithm “fair.” In fact, there are many competing notions of fairness among which there are trade-offs when it comes to dealing with real world data.

The Harvard Innovation Lab

Made in Boston @

The Harvard Innovation Lab