Eric Lai

B2B Technology Writer and Content Strategist

United States

I help B2B cloud and software vendors tell interesting, technically-credible stories that educate and attract customers.

As a former technology journalist (ZDNet, Computerworld, Reuters, South China Morning Post) for 15+ years, I bring deep expertise from the enterprise IT space.

I have also worked in-house, including as a content marketing director for 5 years. So I understand the marketing needs of enterprise vendors, as well as their processes.

My forte is blogging, particularly thought leadership. Some of my pieces have generated half a million views and 1000+ comments.

I have also edited and written more than 20 ebooks, as well as numerous customer case studies, whitepapers, infographics, presentations, web pages, lead-generation emails, video scripts, and more.

My clients range from Fortune 100 to startups, and include: Rockset (cloud analytics), Acceldata (cloud data management), Cloudticity (healthcare cloud), Egnyte (cloud content management), Samsung (enterprise mobility), Oracle Communications (networking), Imperva (cybersecurity), Pinterest (online advertising), and Rogue Wave Software (DevOps).

Contact me at [email protected]

Portfolio
Rockset
Handling Bursty Traffic in Real-Time Analytics Applications

This is the third post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics . We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them!

Medium
04/20/2022
Handling Out-of-Order Data in Real-Time Analytics Applications

Companies everywhere have upgraded, or are currently upgrading, to a modern data stack, deploying a cloud native event-streaming platform to capture a variety of real-time data sources. So why are their analytics still crawling through in batches instead of real time? It's probably because their analytics database lacks the features necessary to deliver data-driven decisions accurately in real time.

Acceldata
Got Hortonworks or Cloudera? How to Avoid A Disastrous, Costly Forced Migration

‍ Once big data's poster child, Hadoop is still very much alive in 2022, providing mission-critical analytics for a sneaky-large number of Fortune 500 companies. While some have moved their Hadoop clusters to the cloud or migrated these workloads to cloud data warehouses like Snowflake or Databricks, many companies are still running Hadoop on-premises.

Medium - Towards Data Science
03/03/2022
The Real-Time Revolution and Digital Economics in the COVID Era

Out of all the awfulness created by the COVID-19 global pandemic, a few unexpected silver linings have emerged. One of them is in the field of economics, which in the past year has quietly undergone a revolution, a revolution that mirrors one that is happening in the business world.

Blogs and Articles

Rockset
Case Study: Rockset Enables Real-Time Operational Analytics in Hardware Manufacturing for PCH

PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn't support real-time querying of data. PCH initially considered data warehouses such as Snowflake and Redshift, but found them too costly for real-time analytics.

Acceldata
Value Engineering and Data Cost Optimization Through Data Observability

It's one of the most-famous business expressions, so ubiquitous that it's still hotly-debated who said it first, and so popular it has several variations: "If you can't measure it, you can't manage it." "You can only manage what you can measure." "What you cannot measure, you cannot improve."

Medium
03/21/2022
Top 5 Reasons for Moving From Batch To Real-Time Analytics

Fast analytics on fresh data is better than slow analytics on stale data. Fresh beats stale every time. Fast beats slow in every space. Time and time again, companies in a wide variety of industries have boosted revenue, increased productivity and cut costs by making the leap from batch analytics to real-time analytics.

Linkedin
03/01/2022
Complementing DynamoDB with Rockset for Real-Time IoT Analytics

Growth of the Internet of Things (IoT) hasn't matched the hype due to numerous pain points: limited, unreliable network coverage, high connectivity, and device maintenance costs, and the uncertainty created by diverse, constantly-evolving cellular standards (

Medium
02/15/2022
Case Study: Real-Time Insights Help Propel 10X Growth at E-Learning Provider Seesaw

Seesaw Learning Inc. provides a leading online student learning platform used by more than 10 million K-12 teachers, students and family members in the U.S. every month. The San Francisco company has grown steadily since its founding in 2013, with its hosted service in use in 75% of American schools and in another 150 countries.

Acceldata
Data Observability - Why Neutrality is Key

Minimalism isn't just cool because decluttering gurus like Marie Kondo say so. As the world gets ever more complicated, simplicity emerges as a rare and valuable commodity. So less becomes more, and 2 - 1 = 3. The need for simplicity is never stronger than in the business technology realm.

Medium
12/15/2021
Fast and Simple: Building Rich Patient Dashboards for Speech Therapists with Rockset

There are more than 65 million speech-impaired people worldwide of every age and in every social sphere. Historically, they are a vulnerable social group, found in special education institutions, rehab centers, hospitals and clinics, or their own homes. Every one of them needs rehabilitation, education, and help, in order to communicate their needs, emotions and ideas.

Vmblog
Four Predictions for Data Analytics in 2022

The upheaval caused by the global pandemic in 2021 accelerated many changes in society, business, and technology. This was incredibly true in the sphere I work in, the cutting edge of data analytics.

Medium
02/17/2022
How Data Observability Goes Far Beyond Data Quality Monitoring and Alerts

There's no question that bad data hurts the bottom line. Bad customer data costs companies six percent of their total sales, according to a UK Royal Mail survey. The UK Government's Data Quality Hub estimates organizations spend between 10% and 30% of their revenue tackling data quality.

Acceldata
As Cloudera 6.3 Goes End of Life, How Can You Minimize Your Hadoop Risks?

Hadoop brought Big Data to businesses, enabling cost-effective, high-performance analytics on massive datasets for the first time. At one point last decade, every Fortune 50 company had either deployed a petabyte-scale Hadoop cluster running the open-source technology, or was making plans to do so. Hadoop's heyday was brief.

Vmblog
Four Predictions for Data Analytics in 2022

The upheaval caused by the global pandemic in 2021 accelerated many changes in society, business, and technology. This was incredibly true in the sphere I work in, the cutting edge of data analytics.

Acceldata
Why Modern Data Environments Need a Neutral Data Observability Solution

Minimalism isn't just cool because decluttering gurus like Marie Kondo say so. As the world gets ever more complicated, simplicity emerges as a rare and valuable commodity. So less becomes more, and 2 - 1 = 3. The need for simplicity is never stronger than in the business technology realm.

Acceldata
What Should a Modern Enterprise Data Reliability SLA Include?

Service Level Agreements (SLA) are the root canals of the business technology world. Everyone dreads them - the dragged-out meetings, hard-nosed negotiations, and endless SLA contract revisions. Yet, for organizations that have made major enterprise investments in the cloud, SLAs are required for any area where mission-critical business operations are at the mercy of a technology service.

Acceldata
Five Ways Your Data Pipelines Are Ruining Your Data Quality

Who's that dark shadow at your office door? Is it your (un)friendly neighborhood data engineer, looking like the world has come to an end? And when you suggest a different data set, do they sigh deeply and reply with a look of confusion and bewilderment? Look, you are not alone.

Acceldata
Four Ways Data Discovery Beats Your Existing Data Catalog

The traditional data catalog is going the way of the traditional data warehouse. Both are useful but legacy technologies. They still have roles in the modern data stack of today's digital enterprises - they just happen to be limited ones. A new technical approach, data discovery, is replacing the traditional data catalog.

The New Stack
11/01/2021
Streaming Data and the Modern Real-Time Data Stack

The modern data stack emerged a decade ago, a direct response to the shortcomings of big data. Companies that undertook big data projects ran headlong into the high cost, rigidity and complexity of managing complex on-premises data stacks. Lifting and shifting their big data environment into the cloud only made things more complex.

Acceldata
How a Data Mesh Helps JP Morgan Chase Optimize Data Operations

JP Morgan Chase is one of the largest banks in the world, with nearly $130 billion in revenue in 2020. With 50,000 IT employees and an annual IT budget of $12 billion a year, the company invests heavily to ensure its technology gives it a competitive advantage.

Acceldata (ghostwritten startup CEO blog)
Data Observability - Why Neutrality is Key

Minimalism isn’t just cool because decluttering gurus like Marie Kondo say so. As the world gets ever more complicated, simplicity emerges as a rare and valuable commodity. So less becomes more, and 2 - 1 = 3.

Acceldata (thought leadership blog on data observability)
Is Your Data Trapped in a Black Box?

Your company’s mission-critical data is a lot like Schrodinger’s Cat. It’s trapped in a metaphorical black box into which you have very little visibility.

Acceldata (cloud data observability)
Why Data Engineers Must Manage Data Pipelines, Not Data Warehouses

It’s football season, so here’s a question: what if we overhauled the rules? Instead of the final score, what if the winner was the team that gained more yards on offense. Or, erm, snapped the football to the QB more times? Sounds crazy -- yet, in a way this is how the success of a company’s data operations is measured today.

Acceldata (data performance management)
Data Observability for Data Scientists

Data scientists used to be the company nerds. But data scientists — or data analysts, as well as their slightly older siblings, Business Intelligence (BI) analysts — have “glowed up.” Today, data scientists and analysts are heroes and MVPs.

BlackBerry (mobile security)
LinkedIn blog: How to Execute a Turnaround

I have ghostwritten many executive blogs, including this one for the BlackBerry CEO that has been read by 500,000 LinkedIn readers, generated 3,300 social reactions and 1000+ comments. Several other blogs have generated 100K views and nearly 1000 comments.

ZDNet
Ubermobile

For 3 years, I wrote a thrice-weekly blog about enterprise mobility sponsored by SAP. It generated 100,000 views per month and won top corporate blog from B2B Magazine.

Avaya (telecoms)
Connected corporate blog

As content marketing director for Avaya, our blog readership nearly 300% Y/Y. We also grew our social engagement 125% Y/Y and social following 81% Y/Y.

BlackBerry (mobile security)
Corporate blog

I was chief editor for 4 years, leading the transition from smartphones to mobile security. During my time, we averaged one million readers per month.

Avaya (telecoms)
Innovations magazine

I launched and edited six issues of this magazine, which was sent to 10,000 existing and prospective customers.

Infographics

BlackBerry (mobile security)
How to Think Like a Hacker

B2B thought leadership doesn't have to be dull and techie. This infographic in 14 slides (what I like to call 'infodeck'; alas this has not yet caught on) has a strong, credible POV and was a popular piece for mobile security vendor, BlackBerry.

Ebooks

BlackBerry (mobile security and management)
Guide to Mobile Healthcare

One of half-a-dozen thought leadership ebooks I edited and co-wrote for BlackBerry.

Avaya (customer service and telecoms)
Managing the Customer Experience

As content marketing director for Avaya, this was among half a dozen thought leadership ebooks I edited and produced. We won Silver Medal for Best Overall Editorial at the Content Marketing Awards.

Whitepapers and Product Briefs

Customer Case Studies

Social, Email and Other