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Planet Big Data is an aggregator of blogs about big data, Hadoop, and related topics. We include posts by bloggers worldwide. Email us to have your blog included.

 

November 18, 2018


Forrester Blogs

Will CX Pros Still Have A Job In 2025?

There we were . . . a round table of CX leaders from across Southeast Asia, senior executives with years of experience running large, successful teams and chipping away at the journey to turn our...

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November 16, 2018


Forrester Blogs

What SAP Customers Should Know About The $8B Qualtrics Buy

SAP has been on an acquisition binge in recent years (Successfactors, hybris, Ariba, Concur, Fieldglass, CallidusCloud, Gigya and others) – a marked departure from SAP’s build-it-all strategy of the...

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Revolution Analytics

Because it's Friday: The physics of The Expanse

For a science fiction show set hundreds of years in the future, The Expanse is unusual in that it takes very few liberties with Science as we understand it today. The solar system is made up of the...

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Forrester Blogs

The Fight For Cybersecurity Brand Dominance Intensifies

“Everything Is An Endpoint” Brings BlackBerry Back From The Dead For many, the fact that BlackBerry still exists — and the fact that it spent $1.4 million of the $2.4 billion in capital...

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Forrester Blogs

Is Bigger Better? Midsize Digital Agencies Lead To Experience Success

We recently evaluated 12 midsize digital experience agencies in “The Forrester Wave™: Midsize Digital Experience Agencies, Q4 2018.” While nobody likes the word “midsize,” we all should pause and...

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Forrester Blogs

Reflection On Web Summit 2018

Web Summit took place for the third time in Lisbon earlier in November. Over the years, Web Summit has become one of the leading global conferences to discuss everything technology. The large...

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November 15, 2018


Revolution Analytics

In case you missed it: October 2018 roundup

In case you missed them, here are some articles from October of particular interest to R users. Peter Provost ports some 80's-era BASIC programs for kids to R. In a podcast for Fringe FM, I discuss...

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Forrester Blogs

A Tantalizing Sequel To Web CMS Is Coming Soon

After months of research, I am excited to publish our evaluation of the web CMS market (Forecast, Now Tech, and Forrester Wave™). Thank you to all the folks who worked so hard to make this...

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Forrester Blogs

Data Protection Vendors Are Emerging From The Stone Age

A little over a year and a half ago, I completed an evaluation of data resiliency vendors, published as “The Forrester Wave™: Data Resiliency Solutions, Q3 2017.” I gleaned many insights...

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Forrester Blogs

The Shifting Map Of US Tech Talent Offers New Opportunities For Talent-Hungry CIOs

The US tech economy is starting to spread from major cities on the East and West Coasts to inland metro areas. This is great news for American cities, employers, and tech workers. Inland urban...

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Forrester Blogs

Forrester’s First-Ever Data Strategy & Insights Forum — Don’t Miss It!

Today, business users need trusted data fast to make better business decisions, while business technology needs require lowering costs, minimizing complexity, and improving efficiency. In addition,...

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Forrester Blogs

The Forrester Wave™: Zero Trust eXtended (ZTX) Ecosystem Providers, Q4 2018 — Truth

We just wrapped up five months of in-depth research focused on providing some clarity into what technologies from which vendors actually enable Zero Trust (not just talk about it). It didn’t...

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November 14, 2018


Revolution Analytics

Report from the Enterprise Applications of the R Language conference

by Mark Niemann-Ross Mango Solutions presented the EARL conference in Seattle this November and I was fortunate enough to have time to attend. During the conference I took notes on the presentations,...

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Forrester Blogs

Transform Your Organization From Data-Driven To Insights-Driven

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process...

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Forrester Blogs

Your People Problem With Emerging Technology And Innovation

Nearly half of the firms we survey are prioritizing innovation as key to their business strategy. When I step back and think about it, the reason for this is easy to understand: Exponential changes...

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November 13, 2018


Forrester Blogs

Examine The Cybersecurity Risk Ratings Market With The Forrester New Wave™ Evaluation

The Forrester New Wave™: Cybersecurity Risk Ratings, Q4 2018 Earlier today, we published “The Forrester New Wave™: Cybersecurity Risk Ratings, Q4 2018” evaluation. We take a close look at...

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Forrester Blogs

Rethink The In-House Agency Hype

CMOs Should Rethink Their Efficiency Argument For An Effectiveness Strategy Headlines blustering about in-house agencies have marketers buzzing and agencies fretting. While the in-house trend has...

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Revolution Analytics

AI for Good: slides and notebooks from the ODSC workshop

Last week at the ODSC West conference, I was thrilled with the interest in my Using AI for Good workshop: it was wonderful to find a room full of data scientists eager to learn how data science and...

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InData Labs

Human-in-the-Loop Computing Paradigm: Machine Learning with Human Input

Are we heading towards the future of machines that learn and perform all by themselves? With the recent advancements in deep learning, it may seem so, but some experts disagree. Human-in-the-Loop approach to machine learning is gaining popularity as the best approach to training more accurate models. What value can it bring to a machine...

Запись Human-in-the-Loop Computing Paradigm: Machine Learning with Human Input впервые появилась InData Labs.

 

November 12, 2018


Forrester Blogs

Ghost In The Machine? No, It’s A Robot, And It Is Here To Help

Just a few years ago, conversations about robotic process automation (RPA) were scattered and far between. Those familiar with RPA had a limited understanding of its potential and at best had carried...

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Forrester Blogs

Will SAP’s Acquisition Of Qualtrics Help Propel It Forward In The Age Of The Customer?

Yesterday, SAP announced that it is acquiring Qualtrics for a hefty $8 billion in cash. For SAP, this does make some sense. SAP is often perceived as being a legacy provider that struggles to play in...

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Forrester Blogs

AI Tech Shines A Path To Empathetic Triggers

I’ve always been attracted to the power of empathy. That being said, I’m a longtime fan of “soft” skills — skills that are helpful in relationship-building, making me a better friend and (presumably)...

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Forrester Blogs

Highlights Of Another Record-Smashing Singles’ Day

I was in Shanghai last weekend to witness the largest 11/11 in history. Alibaba breaks another record, with 2018 GMV reaching RMB213.5 billion (US$30.8 billion), 27% higher than last year’s RMB168.3...

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Forrester Blogs

New Look’s CVA Is Bearing Fruit

Earlier last week, UK high-street apparel retailer New Look announced plans to close 85 stores, up from the 60 it announced in March. These closures are happening under the auspices of a...

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November 09, 2018


Forrester Blogs

Customer Service Robots Rise Up

Automation and AI now impact every job — including every customer service job. AI handles, with increased confidence, repetitive work, allowing customer service agents to focus on tasks of greater...

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Forrester Blogs

Arm Yourselves For Healthcare’s Cybersecurity War

The US healthcare industry is a gold mine for industrial hackers. Commandeering hospital systems has become stable and profitable work for those willing to execute these attacks. Despite years of...

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Forrester Blogs

Déjà Vu: New Look Reports Even More Store Closures

New Look’s recently announced store closures are not explained uniquely by the growth of eCommerce. In the year leading up to March 2018, the company’s total sales — including online sales — both...

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Revolution Analytics

T-mobile uses R for Customer Service AI

T-Mobile, the global telecommunication company, is using R in production to automatically classify text messages to customer service and route them to an agent that can help. The AI@T-mobile team...

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Revolution Analytics

Because it's Friday: Do the Robot

The engineers at Boston Dynamics are at it again. Here's one of the dog robots, dancing (and moonwalking!) to Uptown Funk (play with sound for best effect): I assume this robot was programmed...

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Ronald van Loon

Artificial Intelligence Era Requires New Approaches to Create AI Talent

We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is a need to ensure that the right AI talent comes up and gets to the top to lead this wave of change. According to several key leaders from Huawei, this can only be achieved by changing certain approaches.

As a Huawei partner and a member of Huawei’s Key Opinion Leader Program, I joined three other experts conducting several keynotes at Huawei Connect in Shanghai all related to the question of how to develop talent in the AI era; Dr. Hao Lu, who is the Chief Innovation Officer at Yitu, Huang Weiwei, who is the Senior Management Consultant for Huawei, and Qian Wang, who is the Co-Founder of Mai Mai.

WeiWei mentioned that, “The adoption of AI technologies will not only make its products more intelligent and improve internal management efficiency; it could contribute as much as 90 per cent of total income even though AI headcount would be relatively small compared to the total number of employees.”

A Sequoia China report that was revealed recently mentioned that there are over 1,000 AI companies registered in China currently. These companies account for nearly one-fourth of all AI companies across the world. China is, hence, second only to the United States when it comes to the most number of enterprises linked to AI within the country.

The Impact of AI Talent on Company Performance

With the horizons dictating artificial technology expected to broaden in the future, one can tell that AI talent will have an imperative role to play in company performance. The talent that a company possesses in the field of AI dictates how well they’re able to manage the analytics for the future.

The best AI talent in the market will realize the performance of different models and harness their potential to help them perform at their full potential. This knowledge is what AI companies will crave in the future.

As the age of AI kicks in, the management philosophy will also change. While previously managements were involved in routine decision making and innovations, the AI age will define how organizations now rely more on their top talent to define and lead innovation. The innovation that the workforce inside an organization brings would be the differentiating factor for all forms of AI companies. Their workers would help propel them forward and foster innovation for them. Realizing the impact of their employees’ creativity in the overall company policy, organizations would also reward this talent accordingly.

AI now dictates a major part of the talent pyramid. AI professionals and data scientists have revamped the way people look at the pyramid because the decision making has come down from the top tier to skilled workers below. Data scientists and AI professionals are more involved in the decision making process as they are the ones leading the process of change within the organization.

What Does It Mean to the Talent?

With rapid advancements in AI, the top talent out there keeps a stringent check on the job market. Knowing that the talent will play an important role in AI advancements, it is pertinent to see what these advancements mean for all of this talent.

The following skills or qualifications will be expected of employees in the future:

More Specialized

Rather than being exhaustive and trying their hands at everything, employees of the future will have to specialize in one specific field; be it data labeling, machine learning or parallel computing, the upcoming talent should identify one facet of AI and start working on it. With the need for enhanced innovation and skills in the future, you cannot exhaust yourself by trying to study everything in one go.

More Comprehensive

The need for specialization, mentioned above, would require a more comprehensive approach towards models at work. This is to ensure that errors don’t spread and are not found in the first place. Since a single error in the analytics stage can destroy momentum, comprehension is something that should be guaranteed.

More Attentive  

Humans tend to make costly errors, too, when it comes to AI. This is exactly why attention is a quality expected from future AI talent. They should remain attentive and at the top of their game at all times.

Recruitment of Highly Qualified Talent

With the passage of time, and with developments in the field of AI, there will be a special focus on recruiting only the top qualified talent in the market. The core talent in the era of AI would be the highly qualified workers coming through and leading the change.

This highly qualified talent can relate to:

  • Application of AI
  • Cloud Computing
  • IoT
  • Industrial Robotics

The talent of the future would be required to:

  • Provide data insights
  • Apply AI technology across different scenarios
  • Maintain human computer interaction
  • Respond to dynamic changes
  • Customize demand
  • Diversify industry business
  • Maintain various business standards
  • Coordinate among different platforms
  • Maintain demand for safety and reliability

Main Strategies for Enterprises to Develop In-House AI Talent

With the heightened focus on ensuring the availability of top AI talent, organizations can also take the safe and reliable way out of developing this talent within their own enterprises.

The following are some strategies to augment the growth of in-house talent within your enterprise:

  • Have a clear vision of what you expect and want from AI talent in the short and long run.
  • Have multiple agile teams that deal with the customer’s journey.
  • Ensure the availability of data to the best data sets.
  • Maintain a culture that is driven by data.
  • Maintain an end-2-end lifecycle management for AI.

How Huawei Develops Top AI Talent

Huawei’s method of developing top AI talent is based on four strong pillars.

  • Continuous investment on basic research
  • Talent acquisition from a global scale
  • Strong framework and application.
  • Leading technology and solid theory.
  • Convenient platform with a learning mode.
  • Practical and up-to-date training.

Huawei Developer Program

As part of their efforts in this regard, Huawei has also built a developer program to foster the growth of talented AI individuals. This program will help Huawei in collaborating with developers, universities, research institutes and partners to build a better talent pool and ecosystem for supporting AI resources. Huawei has decided to invest over 140 million USD to ensure that AI talent education is supported and made a priority. This cost covers scientific research, AI courses, and talent training.

China has grown as one of the world’s most potent forces when it comes to AI. The country promises to revolutionize almost everything—from policing to driving to healthcare—by using AI. Beijing is investing big on the technology and plans to create an ecosystem that best works in its favor. Huawei has a strategic position in this regard for they will act as the pioneers of this change.

Learn more about Huawei Connect and Huawei’s efforts for creating AI talent by clicking here.

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

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Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach. He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation. He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions. Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining. Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

The post Artificial Intelligence Era Requires New Approaches to Create AI Talent appeared first on Ronald van Loons.


Forrester Blogs

What To Expect On Singles’ Day 2018

Singles’ Day, the world’s largest online shopping festival, is celebrating its 10th anniversary. There’s no doubt that we will see another record-smashing year, although gross merchandise...

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November 08, 2018


Forrester Blogs

Predictions 2019: Transformation Goes Pragmatic

Our Predictions 2019 guide, “Transformation Goes Pragmatic,” is live. What do we mean by pragmatism? A sense of realism, practical steps, a desire for tangible outcomes. It’s a good description for...

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Forrester Blogs

Does Africa Present An Opportunity For The Chinese Clouds?

Africa is home to 20% of our planet’s land and 16% of its people, but none of the hyperscale public clouds run from data centers there — yet. Microsoft will offer Azure from data centers in...

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Forrester Blogs

Predictions 2019: B2B Marketing And Sales — Mission Possible

Many attendees of our B2B Marketing 2018 Forum remarked how the energy was high and the focus was driven — the marketing and sales leaders who joined us in Austin were on a mission to overdeliver on...

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Forrester Blogs

This Is A Story All About . . . Stories: One Takeaway From The #DMWF

Like the opening sequence of The Fresh Prince of Bel-Air, the social media landscape is getting “flipped-turned upside down” by the ascendance of stories. Well, that may be a bit dramatic, but they...

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Forrester Blogs

Predictions 2019: Software Innovation Builds Upon Cloud, Collaboration, AI, And More

As we move into 2019, Forrester sees digital transformation as a continued driving force for the software industry, pushing teams to accelerate their innovative efforts. Last year, Forrester...

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Forrester Blogs

Predictions 2019: This Is The Year To Invest In Humans, As Backlash Against Chatbots And AI Begins

For some time, the burning question has been: Will robots replace humans? While the proliferation of robotic process automation (RPA) has reduced headcount in the back office, it’s a different story...

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Forrester Blogs

Predictions 2019: Cloud Computing Comes Of Age As The Foundation For Enterprise Digital Transformation

Last year, Forrester predicted that cloud computing would radically accelerate enterprise transformation everywhere. After a decade of powering small and medium business success — and giving...

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Revolution Analytics

AzureR: R packages to control Azure services

by Hong Ooi, senior data scientist, Microsoft Azure This post is to announce a new family of packages we have developed as part of the CloudyR project for talking to Azure from R: AzureR. As...

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Forrester Blogs

Predictions 2019: Consumer Power Pushes Marketers To Better Data And Experiences

“I get knocked down, but I get up again.” — Chumbawamba   Halfway through the 20-year-long age of the customer, empowered consumers are more informed about their purchases, demand data privacy, and...

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Forrester Blogs

The Content Localization Gap

Bridging The Gulf Between Tech Buyer Expectations And Vendor Content B2B buyers increasingly expect contextual content tailored to their unique circumstances, which means an ongoing challenge for B2B...

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Forrester Blogs

Introducing The Forrester Wave™: Marketing Measurement And Optimization Solutions In Asia Pacific, Q4 2018

I am excited to announce the publication of “The Forrester Wave™: Marketing Measurement And Optimization Solutions In Asia Pacific, Q4 2018.” In our first 36-criteria evaluation of...

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November 07, 2018


Forrester Blogs

Predictions 2019: Media — What’s On Tap?

Media Acquisition Growth Explodes By any standard, 2018 will be remembered as a blockbuster year for media. On June 14, 2018, AT&T completed its acquisition of Time Warner for $85.4 billion,...

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Forrester Blogs

Predictions 2019: Digital Leaders Reboot To Hedge Against A Downturn

Forrester predicted in 2018 that digital would reach the hard stuff, the core of business: organization structure, operating models, and endless discussion of platforms. These themes are far from...

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Forrester Blogs

Predictions 2019: Steady Evolution In Blockchain Will Continue, Unless Disillusionment Causes A “Winter”

“The visionaries will forge ahead; those hoping for immediate industry and process transformation will give up.” This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain...

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Forrester Blogs

Predictions 2019: In Healthcare, CX Measurement Frameworks, Virtual Care, And AI Come To The Fore

The US population is growing and aging. The volume of patients and the prevalence of chronic conditions are rising. Payers and providers alike are feeling the strain of healthcare’s antiquated system...

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Forrester Blogs

Predictions 2019: Financial Services Firms Shift Their Focus To Operational Efficiency

In the decade since the global financial crisis, much of the financial services industry has made a strong recovery. While many governments are still nursing large debts, most banks, investment...

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Forrester Blogs

Make It Personal And Reap The Profits

This blog post is part of Forrester’s Holiday 2018 retail series. Today’s consumer expects advertisers to deliver personalized, relevant experiences and rewards those that do. Kiran Mani, Google’s...

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Forrester Blogs

Let’s Make Data Dance At Forrester’s Data Strategy & Insights 2018 Forum

Join us in Orlando on December 4, 2018 for Forrester’s first-ever Data Strategy & Insights 2018 Forum. We are super excited to bring you razor-sharp focus to the power of data, analytics,...

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Forrester Blogs

DAM Or Web CMS? Find Out Which Digital Experience Technology You Need

We get a lot of questions from clients about the differences between digital asset management (DAM) and web content management systems (web CMSes). In this two-part series, Mark Grannan and I break...

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Revolution Analytics

Working with US Census Data in R

If you need data about the American populace, there's no source more canonical than the US Census Bureau. The bureau publishes a wide range of public sets, and not just from the main Census conducted...

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November 06, 2018


Forrester Blogs

Data Commercialization Isn’t Easy — And Many Initiatives Will Fail

The hype around big data got several things right, one being that data volumes are big and growing quickly. Digital transformation — as well as the growing adoption of IoT and the ubiquity of the...

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Forrester Blogs

Predictions 2019: Expect A Pragmatic Vision Of AI

Last year, Forrester predicted that firms would struggle with new technologies, particularly artificial intelligence. This prediction came true: Firms continued with AI experiments that lacked...

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Forrester Blogs

‘Tis The Season – Your Customers Might Need A Little Nudge

On November 5, in line with tradition, a huge array of sparkling displays took place across the UK to celebrate Guy Fawkes night (“Remember, remember, the fifth of November . . . ”). As days get...

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Forrester Blogs

Predictions 2019: The Internet Of Things

Business stakeholders and CIOs in both B2B and B2C environments are planning and deploying IoT solutions to power digital transformation initiatives to revolutionize customer relationships, enhance...

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Forrester Blogs

Predictions 2019: Business Insights Are A Many-Splendored Thing — Data Is Meant For More

Enterprise Mindsets About Data Are Changing Give me a dashboard. Give me a report. Give me better insights. If that’s your approach, it’s old-school and you’re falling behind. Leading enterprises...

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Forrester Blogs

Predictions 2019: Automation Will Become Central To Business Strategy And Operations

Automation will be central to the next phase of digital transformation, driving new levels of customer value such as faster delivery of products, higher quality and dependability, deeper...

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Forrester Blogs

Predictions 2019: The Ebb And Flow Of VC Dough

Marc Andreessen once said, “Raising venture capital is the easiest thing a startup founder is ever going to do.” That’s a bit of hyperbole from Marc, but there’s a lot of truth to it if one’s timing...

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