Data Mesh In 2023 And Beyond
Read our 2023 predictions for data mesh: Clarity, challenges, more confusion, and opportunities are all just part of the journey.
Michele Goetz
Exposing The Data Mesh Blind Side
Avoiding the technical aspects of data perpetuates the ivory tower of data strategy and committees without generating business results. Learn how a data mesh can help.
Derisking the AI Worker
When you get over the fear of a robot taking over your job – because if you see our robots today they are still pretty dumb – your next big concern is how these new workers are going to perform. It’s not just a training question, it&#…
Derisking the AI Worker
When you get over the fear of a robot taking over your job – because if you see our robots today they are still pretty dumb – your next big concern is how these new workers are going to perform. It’s not just a training question, it&#…
AI Will Change Organizations From Within
Over the past year I’ve spoken formally and informally with hundreds of companies about their AI initiatives. The biggest AH-HA moment comes when these companies realize the difference between implementing traditional technology and applying anal…
Data Engineers Will Be More Important Than Data Scientists
Does it seem like the ability to find, hire and retain data scientists is a losing battle? Is spending $500K+ per year for a Data Scientist worth it? What is a data scientist anyway? Those a real questions and are the markers that how you are supportin…
AI And Cognitive Computing — What’s The Hype All About?
That is exactly what Forrester wants to find out – is there something behind the AI and Cognitive Computing hype? What my research directors ask, “Is there a there there?”
AI and Cognitive Computing have captured the imagination and interest of organization large and small but does anyone really know how to bring this new capability in and get value from it? Will AI and Cognitive really change businesses and consumer experiences? And the bigger question – WHEN will this happen?
It is time to roll-up the sleeves and look beyond conversations, vendor pitches and media coverage to really define what AI and Cognitive Computing mean for businesses, are businesses ready, where they will invest, and who they will turn to to build these innovated solutions, and what benefits will result. As such, Forrester launched its Global Artificial Intelligence Survey and is reaching out to you – executives, data scientists, data analysts, developers, architects and researchers – to put a finger on the pulse. We would appreciate you take a little time out of your day to tell us your point of view.
Simply click on this like to participate. https://forrester.co1.qualtrics.com/SE/?SID=SV_3K02TU4Q9934Z1j
As a thank you, you will receive a complimentary summary report of the findings.
If you have a great story to share that provides a perspective on what AI and Cogntivive can do, what benefits is has provided your company, and can share you learnings and best practices, we are also recruiting for interviews.
Simply contact our rock star researcher, Elizabeth Cullen, to schedule 30 minutes. ecullen@forrester.com
We hope to hear from you!
Deep Learning Will Blow Up Your Data Strategy
Day one of the GPU Technology Conference in San Jose and I’m still glowing from watching Steve Wozniak “travel to Mars” through NVIDIA’s photo real virtual reality. Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest. Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities…). Each emotion illustrates what everyone will experience shortly on NVIDIA’s next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.
This is not your traditional or even big data analytic platform. It’s a complete overhaul of the computing architecture. It’s a complete rethink of data management. It will also change how you think about analytics.
Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now. In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.
The implications for how you manage data are radical. Here is what you need to think about:
Deep Learning Will Blow Up Your Data Strategy
Day one of the GPU Technology Conference in San Jose and I’m still glowing from watching Steve Wozniak “travel to Mars” through NVIDIA’s photo real virtual reality. Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest. Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities…). Each emotion illustrates what everyone will experience shortly on NVIDIA’s next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.
This is not your traditional or even big data analytic platform. It’s a complete overhaul of the computing architecture. It’s a complete rethink of data management. It will also change how you think about analytics.
Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now. In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.
The implications for how you manage data are radical. Here is what you need to think about:
The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?
The Forrester Wave for Master Data Management went live today. The results may surprise you.
MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.
Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:
Categories:
The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?
The Forrester Wave for Master Data Management went live today. The results may surprise you.
MDM tools today don’t look like your father’s MDM. No longer an integration hub between applications and DBMSs, today’s tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.
Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:
Categories:
The Top 6 Questions To Succeed At Artificial Intelligence
You can’t turn anywhere without bumping into artificial intelligence, machine learning, or cognitive computing jumping out at you. Our cars brake for us, park for us, and some are even driving us. Our movie lists are filled with Ex Machina, Her, and Lucy. The news tells about the latest vendor and cool use of technology, minute by minute. Vendors are filling our voicemail and email with enticements. It’s all so very cool!
But cool doesn’t build a business. Results do.
Which brings me to the biggest barrier companies have in adopting artificial intelligence. Companies are asking the wrong questions:
- What is artificial intelligence (or insert: machine learning or cognitive computing)?
- Where can I use artificial intelligence?
- What tool can I buy?
These questions put artificial intelligence into the traditional analytic processes and technology adoption box. These questions assume you will begin from the same starting point as you did for big data. You are wrong: Artificial intelligence starts with the problem to solve and works backward.
To succeed at artificial intelligence you need to ask the right questions: