Medium c2afe537 e5a4 4a62 a2a0 250de58ae48e

The dysfunctional relationship most firms have with AI

AI pioneers have provided us with a glimpse of and conditioned us to ambient AI making it hard to break up with each other. They have also set a very high bar on our expectations of what AI should do for our businesses. The point is that enterprises embarking on AI need to radically shift their approach to technology adoption and analytics. This is not a plug and play and bolt on strategy. It takes work to go from POC to a capability that comes close to our expectations of AI based on our consumer experience. 

Medium ec424991 a115 41aa 8149 5ec2b1413c59

This is the AI debate that we need to have

Policy approaches to education, skills training, employment, and income distribution should all now assume a post-AI perspective. This will require us to question some of our most deeply held convictions. A world where autonomous AI systems can predict and manipulate our choices will force us to rethink the meaning of freedom. Similarly, we will also have to rethink the meaning and purpose of education, skills, jobs, and wages.

Medium 7ad619c6 15a3 4b4d b5cd a572af8e90ad

IoT network integrators – Key to meeting the Needs of Enterprise Customers

Most of the traditional large system integrators focus on the higher end of the technology stack – connectivity is usually assumed to exist.  But the core of their offers focusses on analytics and business process integration with legacy ERP and other systems.  Newer connectivity solutions such as LPWAN are not yet fully integrated into their domain expertise.  The current need for IoT network integrators is driven precisely by this need – the capability to determine the right network connectivity solution for lower tier access in terms of power consumption and cost is nascent, and this very capability is what determines whether new projects can be delivered at a reasonable ROI. 

Medium a9e7def9 945b 4108 bb3e 7650cd2a4f40

Big Data & Analytics: Trends & Developments

Big Data, Data Science and Analytics is the art and science of deriving business value from data. It was understood that if utilised correctly, data could remarkably elevate business’s ability to make insightful & strategic decisions. 

Medium 78727c7f 38f6 4532 a348 eb695dd14534

How Marketing Analytics Is Changing the Game for Lead Generation

Today’s technologies are making this easier for the savvy marketing practitioner, as there are plenty of powerful lead generation tools and marketing analytics tools that you can use to help automate labor-intensive aspects of this process and get both disciplines working in harmony.

Medium ff6c6a1e f1c7 46f4 aecb b55f8b0afccb

If machine learning isn’t saving you money, you’re doing it wrong

Machine learning is great, but its really easy to quickly become disenfranchised by it if you’re not going about it the right way. But your business and understanding of machine learning needs to take occasional false positives and negatives into account.

Medium c8a519fb 723d 4dee b74b f1f7c5452716

How Data Scientists Are Wasting Their Time

We may want our data scientists to be superheroes, but all superheroes have their kryptonite. It would seem that the main flaw with being a data scientist is the one thing data scientists cannot change – the fact that they are human. Even Mister Fantastic was only human, after all. There is no way around this, so what is the solution? Do we throw all our data scientists out onto the street and replace them with machines?

Medium a4e45216 c755 4b99 aae6 dfd357ebf4eb

The Unexpected Industries That Could Get a Boost From Self-Driving Cars

Car manufacturers, ride-hailing services, public transportation, car washes and parking garages will all go through some major shifts for obvious reasons. Driverless cars are bound to change not only the automotive industry but revolutionize our daily lives, as well.

Medium 81760f37 0134 44d3 bc86 d14a80b2a449

Piketty Revisited: Improving Economics through Data Science

The data curation step involves discovering, analyzing, cleaning, transforming, combining, and de-duplicating data sources to produce target data sources that meet the requirements for input to the analysis. Every data curation step should be documented as data provenance that is then compared against the controls to determine the extent to which the appropriate data governance was followed and the required data quality was achieved. 

Medium 73d80333 242f 404b bc9c dadeec5eb019

Some tips to manage an offshore team

The economy is going global. Managing a remote workforce might not be as difficult as it may sound. Communication and using the right tools remains the key to having a successful team irrespective of the geographies.

Medium 791cd8e8 0087 4aba a278 6693fe44047f

IoT and IT can be friends

Any good friendship is based on a mutual understanding of value. The same is exceptionally true of IoT devices and IT professionals. IoT needs IT to function correctly and safely, and in some cases to have all the data that it collects understood. IT needs IoT to increase efficiency, reduce overhead and provide actionable intelligence.

Medium 9025ea4c c4ed 44c4 a453 21ec1e4140de

Doubt and Verify: Data Science Power Tools

In all fields new facts and knowledge are constantly being produced based on new data, discoveries, experience, and research -­‐ far more than a single individual can absorb let alone put into practice. So how do professionals or how does anyone understand that they have a bias, its nature and limitations? And re-evaluate their knowledge (world view) in light of new facts (“ground truth”) and conclusions?

Medium 58167ff5 2e7f 4dec a000 c7e6f697cd07

Twelve Useful Things to Know About Machine Learning

As more data becomes available, more ambitious problems can be tackled. As a result, machine learning is widely used in computer sincere and other fields. However, developing successful machine learning applications requires a substantial amount of “black art” that is hard to find in textbooks.

Medium 9ef4268f 8552 4833 8afb 7e279c507763

Why Artificial Intelligence is Inherently Biased, and How to Minimize the Damage

It may be virtually impossible to develop artificially “intelligent” systems that aren’t at least somewhat contaminated and biased, in the same way, that it is impossible for a human mind to be entirely unaffected by bias. But if you want to ensure that your own machine learning tools are at least as objective as possible, then you should do your best to minimize the bias

Medium c5b5dded 466a 472a b6fe a0143e32b5a3

What's the difference between data science, machine learning, and artificial intelligence?

What’s the difference between that and machine learning? or does that mean you work on artificial intelligence? The fields do have a great deal of overlap, and there’s enough hype around each of them that the choice can feel like a matter of marketing. But they’re not interchangeable: most professionals in these fields have an intuitive understanding of how particular work could be classified as data science, machine learning, or artificial intelligence, even if it’s difficult to put into words.

Medium 61ae50d0 7406 4a48 9513 b12a139ef6f5

What would be useful for aspiring data scientists to know?

An aspiring data scientist needs to build useful stuff, learn new things, demonstrate that he can deliver value using data analytics and work with others using the same tools. Tips and tricks can sometimes get us ahead by a bit, but the fundamentals matter the most.

Medium 2534d828 de0a 4622 907b 2abdea49491d

The Secret to Strong AI

How much AI needs to mimic the brain has been debated for decades. The recent success of deep learning, which is only loosely related to brains, has bolstered the argument that AI can advance without brain theory. But that success has also brought to the fore the limits of deep learning, making it more obvious that new approaches are needed.

Medium f46b3086 1800 4280 a5ca 0802797387a9

How to Develop an IoT Strategy for Your Supply Chain Security

Most IoT deployments are cross-functional. They involve the use of both hardware and software. And IoT-enabled solutions offer several competitive advantages from a supply chain security perspective. Learn what you need to consider building a winning strategy.

Medium 2c3a2c62 d49b 4899 b8e0 628d897d7d1b

Sixteen useful Advices for Aspiring Data Scientists

Data Scientists at Work displays how some of the world’s top data scientists work across a dizzyingly wide variety of industries and applications — each leveraging her own blend of domain expertise, statistics, and computer science to create tremendous value and impact.

Medium 7cdba4d5 8ea0 486f aa42 15007929dfa1

Don’t Fear AI, Fear Human Stupidity

We’d be better served by focusing on human’s irrational thought patterns than fearing some AI-enabled bogeyman. Doing so would shed light on our illogical biases and thought patterns that can intrude into AI algorithms. It would also help understand how AI can overcome our inherent intellectual handicaps and boost productivity

Medium 3f62c7cf 792d 4e6a b772 9a7e28d0fe5b

Artificial Intelligence – Uniting Humans & Machines

Today we are in the 4th Industrial Revolution and no doubt that this era would be driven by advancement in Artificial Intelligence and Robotics. This is the era where man and the machine are going to co-exist, collaborate and work together. So the union of man and machine is inevitable and it is up to us as to how we would exploit this situation to our advantage and live happily ever after!

Medium 9e4c2d38 e285 487d bff7 c9d2a10300c0

Why understanding truth is important in Data Science?

Data science involves hypothesizing or discovering systematically observable properties of a phenomenon. It can be used to discover correlations (What phenomena occurred) but cannot be used to establish causality (Why the phenomena occurred).

Medium 86bb2c7e 00a3 4338 ad72 5369a343d26a

Automation won 2017: here’s what it means for businesses moving forward in 2018

Throughout the past couple of years, we’ve seen a growing rollout of robotic and software-process automation systems.  However, adoption rates have been fairly slow, which sped up quite a bit over the past year. It also means 2018 will be hugely impacted, maybe even disrupted, by even stronger growth and adoption rates of automation.

Medium e707a943 dd7f 46a9 ab90 f8d5a9860817

We Aren’t Prepared for an Automated Future

We all need to focus on expanding our understanding of the automation revolution, and based on that understanding,  identify and develop the skills that will be necessary to survive and succeed in this new world.

 

The Harvard Innovation Lab

Made in Boston @

The Harvard Innovation Lab