Australia – Australian-based digital asset management company Collaboro has signed a deal with Macquarie Cloud Services, part of Macquarie Technology Group, to store and preserve the quality of media assets for the country’s major brands.

The partnership comes as Collaboro finds an alternative to its previous public cloud solution as storage to handle its more than 3.5 petabytes (PB) of data, equivalent to around 70 million tall filing cabinets.

With this new deal, Macquarie Cloud Services will develop a unique solution leveraging its Launch Private Cloud, which provides an instant cost reduction of about 30% for the digital asset management company. The reduction in cost is also projected to rise to around 50% as the environment scales and more data is added.

This Launch Private Cloud platform is built on Dell Technologies infrastructure solutions, including Dell ECS Enterprise Object Storage and Dell PowerEdge Servers. It is equipped with a high-speed Megaport cloud bandwidth connection and is contained and managed from Macquarie Data Centres’ sovereign, government-certified facilities for enhanced data security and protection, an essential requirement for government and enterprise CMOs and CIOs when it comes to sensitive data.

The system also offers zero egress or ingress charges and vastly more predictable head-room costs for scaling compute and AI resourcing. This is a major benefit for Collaboro’s customers, especially since in its old system, the costs for transferring data to and from the cloud were skyrocketing.

Additionally, Collaboro is developing AI-driven government, risk and compliance (GRC) capabilities, and searchability that can automatically label, search for, and identify specific people, things, words, and more within images and video content.

This enhancement in the company’s technology comes as the sheer volume of new assets being generated and presented to the market across a multitude of channels inside heavily regulated industries makes it impossible to do it manually. The process is especially vital, particularly for customers in these highly regulated industries.

Collaboro aims to help companies utilise the various AI-generation tools for imagery and videos by presenting learning datasets so that customers can tailor generative engines specifically to their brand through the use of machine learning (ML) on existing collateral.

The digital asset management company works with government agencies and enterprise marketing teams, including McDonald’s Australia and New Zealand, Optus, Sportsbet, Youi, the NSW Department of Education, and many more. 

It provides unique Australian-engineered SaaS technology that solves the problem of centrally storing, managing, surfacing, and sharing large-scale digital media asset libraries.

Collaboro has had a process of continuing investment in platform and process, focused on the core strategic topics of managing customer data with lower and more predictable costs and preparing customer data for the future of generative AI.

Warwick Boulter, founder and CEO at Collaboro, said, “The Avatar sequel is believed to have around 18.5 PB of data attached to it, but that number pales compared to the amount of data major brands around Australia hold for their advertising and marketing programs. Compressing data is not an option in these circumstances because once the pixel is gone, it’s gone, and the quality is lost forever. We’ve built our technology to maintain that quality while maximising efficiency.”

He continued, “Australian companies use a stockpile of existing assets to weave into different marketing and ad campaigns. That’s important for brand consistency, but it means moving large data files around more than would be typical in other departments. As the data stockpile grows, so can the transfer costs; Macquarie Cloud Services keeps this element of cost at exactly zero. Further, the ability for our customers to leverage their vast marketing asset pool as a training set for future generative engines will rely heavily on that asset pool being easily available and deployable, i.e., not constrained by egress and transfer costs.”

“We have gambling, insurance, and alcoholic beverage clients who adhere to legislation on what can be shown in their advertisements. We will shortly have the ability to apply rules within our SaaS platform to run intelligent searches over their media assets to make sure they’re compliant with the law and provide immediate reporting and dashboarding of GRC topics. This saves so much time and lowers regulatory risk. The additional capacity we have with Macquarie Cloud Services helps to enable these advances because you need a long data runway once AI is involved. They’re on that journey with us, redesigning their cloud services and data centres for the AI era,” Boulter added.

Meanwhile, Jonathan Staff, head of private cloud at Macquarie Cloud Services, said, “Collaboro is an example of Australian innovation at its best, one which is helping modernise a data-heavy industry. Data is always growing, but in an industry where quality is everything, it’s easy to lose control and even easier for costs to spiral.”

“Collaboro has solved this issue. It’s foresight to add further value by incorporating AI searchability into its stack also shows how in tune the company is with its customers needs. Our private cloud is critical at a time when cloud costs are rising and choice is diminishing because we can manage the data while balancing cost, security, and sovereignty,” he added.

Singapore – Global data and AI company Databricks has recently launched Databricks Lakehouse for Retail, which is a new centralized data and AI platform catered to retailers and consumer goods (CG) customers. Some of its early adapters include Walgreens, Columbia, H&M Group, Reckitt, among others.

With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. In addition, it delivers an open, flexible data platform, data collaboration and sharing, and a collection of tools and partners for the retail and consumer goods industries

Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization’s data engineers and data scientists.

Some of the solutions offered include real-time streaming data ingestion, demand forecasting and time-series forecasting, as well as machine learning-powered recommendation engines.

Ali Ghodsi, CEO and co-founder at Databricks, said, “Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they’re facing. This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry.”

Sydney, Australia – About 91% of marketers in Australia and New Zealand are prioritizing the use of marketing data to improve ROI and marketing efficiency, said a joint study by marketing intelligence platform Salesforce Datorama and marketing research agency The Leading Edge.

The study examined 285 marketers across ANZ on how they integrate marketing data to measure impact and business growth, and almost all of the respondents – 93% – have shifted their priorities to focus on marketing-led growth.

“Marketers are seeing their role evolve as they are responsible for propelling business-wide outcomes. As they become increasingly accountable for operationalizing growth mandates across the entire organization, they need to embrace a data-driven culture and modernize their approach to marketing measurement,” said Jay Wilder, senior director of product marketing at Salesforce Datorama.

The study also showed the biggest barriers that marketers face in driving growth around data, where data mismanagement, lack of a unified view of performance, and lack of real-time insights came out as the top three.

Although 86% of ANZ marketers see the importance of a complete view of cross-channel marketing, they face a number of roadblocks when it comes to integrating their data for that holistic view. According to the study, 69% of marketers still integrate data manually to an extent with the same percentage of marketers revealing that they spend a week or more on harmonizing data from disparate channels.

Aside from such challenges, the study revealed that there is room for improvement when it comes to data analysis and optimization, as 73% of marketers do not have access to real-time insights. 

Furthermore, nearly half, or 47% of marketers, experience misalignment across teams on measurement, with reporting sharing and collaborating on data analysis remaining a challenge for 36%. 

Marketers are making progress as they move forward in their data journey and shift priorities to focus on business growth. The study showed that there 61% of marketers receive growing support from senior leaders for a stronger uptake of data-driven marketing. Meanwhile, 62% are in firms that have been making investments in marketing analytics technology, while the same percentage have been achieving alignment on the KPIs that matter the most.

“A successful growth marketing strategy requires the strategic alignment of people, processes, and technologies. Bringing together an understanding of key growth priorities and challenges, leadership support, investment, and an aligned measurement strategy will drive ANZ,” said Wilder.