So you want to move data to Amazon Redshift? You're not the only one. Every day, thousands of organizations worldwide migrate data to Redshift, which Amazon claims is the world's fastest cloud data warehouse. These organizations have one mission: To move data to Redshift so they can generate business intelligence (BI) from the latest metrics. Amazon's data warehouse makes it easy to produce metrics that power data-driven organizations like yours.

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. In a February 2021 report by IDC, they estimate that world-wide revenues from AI will grow by 16.4% in 2021 to USD $327 billion. Furthermore, AI adoption is becoming increasingly widespread and not just concentrated within a small number of organisations.

In my main position, as a data scientist at SIL International, I work on expanding language possibilities with AI. Practically this includes applying recent advances in Natural Language Processing (NLP) to low resource and multilingual contexts. We work on things like spoken language identification, multilingual dialogue systems, machine translation, and translation quality estimation.

From switching to remote work to auditing your expenses, 58 businesses share their top cost-saving strategies for growing businesses.

In the business world today, data is becoming increasingly more important with each passing year. If your company is not taking the time to learn how to store, analyze and scale data properly now, it could prove detrimental to the business in the long run. However, just as bad data practices can hold your company back, good data practices can propel the company forward. APIs are one tool that any business can use to begin better utilizing their data today.

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. These modern digital businesses are also dealing with unprecedented rates of data volume, which is exploding from terabytes to petabytes and even exabytes which could prove difficult to manage.

How life for data professionals keeps getting better (and more interesting!)

The job of a modern marketer never stops. In today’s always-on, digital world you can spend forever tinkering with taglines and targeting and still never get to the bottom of why some campaigns perform while others don’t. Is your messaging personalized enough? Are you utilizing the right channels? Are you allocating your budget correctly? To dig into these insights you need data.

Not sure how to use customer data to improve your marketing? Check out these 7 tips coming straight from the pros.

Snowflake is one of the most popular choices for building cloud data warehouses, integrating dozens or hundreds of data sources in a single centralized location for easier analysis. But while Snowflake’s record-breaking IPO in 2020 made headlines, it’s not quite as clear how to perform Snowflake data integration. To use Snowflake as a data warehouse, you'll need some way of connecting Snowflake with your other applications and systems.