At A Glance: Tech Industry Job Postings Drop in Q4 of 2022
Despite Downturn, Demand for MLOps and MLflow Professionals on the Rise. It’s no secret that the tech industry has been hit hard during this economic downturn, with job postings in major tech hubs across the U.S. dropping significantly in Q4. Despite this, it’s not all bad news – we saw an increase in demand for…
2023 Trends And Themes: Data, Machine Learning, AI
Subscribe • Previous Issues FREE Report: 2023 Opportunities and Trends In our annual report, we’ve compiled the most important information on the cutting-edge trends in data infrastructure, machine learning, and artificial intelligence. It’s a must-read for anyone who wants to stay informed on the key issues shaping these fields. With 13 sections covering everything from the latest…
At A Glance: Stock Prices of Major Automakers in 2022
We plot the movement in stock prices of a few major automobile manufacturers (through 2022-12-30). Time-series were normalized to have the same starting value of 100. It’s been a tough year, particularly for Tesla: Percentage Change (end of 2021 to 2022-12-30) ranged from a slight gain of 1.7% for BMW, to a 65% decline in…
At A Glance: S&P 500 and Bitcoin
We examine the S&P 500 and the price of a Bitcoin (BTC-USD) over the last five years (since 2017-12-05). Time-series were normalized to have the same starting value of 100. It’s been a wild ride – the Bitcoin price chart is visually a rollercoaster: Bitcoin is negatively correlated with the S&P 500 (over the past…
Confidential Computing and Machine Learning
Measuring the popularity and exploring the readiness of Confidential Computing tools. In order to have a comprehensive data protection and privacy policy, organizations must ensure the confidentiality and integrity of your data in these states: at rest, in use, and in transit. We previously reviewed the ecosystem of tools for protecting data while in use.…
Tech companies are gearing up for the Metaverse
Major technology companies are investing in the Metaverse. Enterprises should take early action to stay ahead of the curve. In the aughts, I was a user and proponent of earlier versions of virtual worlds (specifically of Second Life). Unfortunately, the technology was clunky and the user base never really grew beyond a few hundred thousand…
The Business Intelligence Index
Measuring the popularity of BI tools In a recent post on trends in machine learning, we predicted that there will be more no-code/low-code ML tools available to non-programmers. The potential market for such tools is immense given that the number of analysts dwarf the number of data scientists and data engineers. Due to improvements in…
Distributed Computing for AI: A Status Report
An update on the central role of distributed computing in modern AI.By Ben Lorica and Kenn So. In our previous post we introduced a class of AI startups (“pegacorns”) that have at least $100 million in annual revenue. Many of the AI pegacorns sell applications rather than infrastructure, and many of their founders cited proficiency…
The Data Integration Market
By Ben Lorica. As much as I like talking and writing about machine learning and AI, I am equally keen to point out there are also many impressive1 startups in the data engineering and data infrastructure (DE) category. DE companies address fundamentals that need to be in place before companies can rely on reports and…
Most State-Of-The-Art AI Systems Are Trained With Extra Data
According to the 2022 AI Index Report, nine state-of-the-art AI systems out of the ten benchmarks they tested against are trained with extra data. By Ben Lorica. Stanford’s AI Index Report has just come out – one of my favorite annual reads. This report tracks several metrics including performance on machine learning benchmarks, volume of…
Supercharging Your Data and AI Platforms
Subscribe • Previous Issues Data Management Trends You Need to Know Intel Capital’s Assaf Araki and I both focus on data, analytics, and machine learning, thus we regularly hear pitches from startups building new data management solutions. Data management is a broad area that includes solutions for different workloads, data types, and use cases. Our post lists…
Ratio of Data Scientists to Data Engineers
As companies get more proficient in using data and AI to drive decision making and operations, team members with disparate backgrounds – analysts, product mangers, decision makers – begin using data on a regular basis. But when they’re first starting out, the requisite data may not be in place, and data processing and analysis tend…
Where Do Machine Learning Engineers Work?
With interest in MLOps surging, companies are bound to reassess their tools, as well as the composition of their data and ML teams. About five years ago we published a post that highlighted the emergence of a role focused on making data science work in production. We were prompted by job postings (in the SF…
Data Remains the Key Challenge In Computer Vision Projects
Datagen recently surveyed about 300 professionals in computer vision about the value of data. The survey comes at a time of renewed focus on the importance of tools for helping ML teams address data related challenges. Data-centric AI represents a recent shift among researchers, away from focusing on models and toward the underlying data used in…
One Simple Graphic: Interest in MLOps is surging
The overall job market in the U.S. has recovered from the depths of the pandemic. In the area of “machine learning”, demand for MLOps talent appears to be growing rapidly. This could be an early indicator that machine learning and AI initiatives are beginning to graduate from R&D projects and prototypes, into production systems: Related…
One Simple Chart: Data Engineering areas of focus
Related Content: FREE Report: Data Engineering Survey Results One Simple Chart: Data Engineering jobs in the U.S. One Simple Graphic: Interest in MLOps is surging Subscribe to our Newsletter:
Applications of Reinforcement Learning: Recent examples from large US companies
When I wrote about enterprise applications of reinforcement learning (RL) a little over a year ago, I cited a few examples of applications for recommenders and personalization systems. At the time, the examples I listed came from large technology companies, specifically Netflix, JD, Facebook, and YouTube, as only large companies tended to have the resources…
One Simple Chart: Data Engineering jobs in the U.S.
It’s been a few months since I looked at data on job postings. In my most recent post in Dec/2020 I focused on reinforcement learning (RL), which in terms of number of job postings, barely grew on a year-over-year basis. The good news is that it appears that employers are once again starting to post…
One Simple Chart: online learning platforms, a year into the pandemic
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. Last year I examined usage of a few online learning platforms and found that a month into the pandemic, many of them were growing rapidly. Now that we have data to compare pre and post pandemic usage, let’s…
One Simple Chart: Demand for Reinforcement Learning Holds Steady
Late last year I started running into more companies using reinforcement learning (RL). Inspired by some of the things I was hearing about, early this year I wrote about emerging RL use cases in simulation & optimization, as well as examples of RL in recommendation and personalization systems. With the global pandemic taking a toll…
One Simple Chart: primary applications of AI in Financial Services
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies. In a recent post, I highlighted technologies are most important to large banks using results from a BankDirector survey. That survey hinted that Data and AI are high priorities within large banks, and Automation and Data Analytics emerged…
NLP Survey Results: An Overview
The term “NLP”—or natural language processing—encompasses a wide range of business use cases that are mostly text based. Consider that people use text to record and transmit their communications in general, and, as such, it’s one of the most widely available and “interoperable” data formats. While some industry sectors such as finance and healthcare have…
One Simple Graphic: companies that offer deep neural network accelerators
In 2018, I sat down and listed companies (mainly based in the US and China) that were offering specialized hardware for deep learning. There were plenty of startups in the hardware space at that time but things have changed and that particular list is a bit outdated. Many companies have pivoted, or gone bust, or…
One Simple Chart: what technologies are most important to large banks
As someone who speaks with many technology startups in the software space, I know how important the financial services sector can be to software companies. Companies in this sector have significant technology budgets and increasing competition from fintech startups has accelerated their adoption of new technologies. More financial companies are using cloud platforms and machine…
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