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Globe and Mail
25-06-2025
- Business
- Globe and Mail
Faster, smarter and bolder: How AI is helping companies to pivot and profit in real time
This past January, Three Ships, a Toronto-based clean beauty brand, identified a spike in domestic sales through its artificial intelligence-enabled performance dashboard. It clearly tracked the growth back to the brand's Canadian identity. The team at Three Ships acted swiftly to update all channels across their marketing universe with made-in-Canada positioning. In the months that followed, they could see the elevated sales trend continuing with a 477 per cent increase in conversions related to the messaging. 'We're all about agility,' says Connie Lo, co-founder of Three Ships. 'We track our KPIs [key performance indicators] and reporting on a daily basis, so whenever we see any type of fluctuation in the market or within our own performance, we're able to diagnose it.' Since launching in 2017, Three Ships has built a robust e-commerce presence as well as relationships with North American retailers such as Whole Foods, Credo and the Detox Market. Ms. Lo says the company is on track to hit revenues of $16-million to $20-million in 2025. AI has become critical at Three Ships, to synthesize data, support the advertising creative development process, and build custom dashboards without extensive coding investments. In seconds, Three Ships can see how many touchpoints a cohort needs to make a purchase. In a volatile business environment, companies are leaning more on agile analytics and AI to drive quicker and smarter decisions. That's evident in marketing. For years, companies relied on mixed media modelling and consumer research studies for the confidence to spend their campaign budgets. But there's a downside. 'It takes six months to get you a six-month prediction, so it doesn't really help you anymore,' says Winston Li, founder of Toronto-based Arima, a cloud-based consumer insights platform. With Arima, companies can update their models weekly or monthly, which adds real-time relevance to sales forecasting and marketing investments. It's easier to pivot, Mr. Li says. Business leaders need to be technology leaders too, says Bernadette Osmow, president and chief marketing officer of Osmow's Shawarma, headquartered in Mississauga, Ont. The chain started as a mom-and-pop sub shop, and has grown to 203 restaurants. Osmow's has always been an early adopter of new technology, from digital screen menus to point-of-sale systems. They now use an AI-powered fraud-fighting platform that reduces false claims about delivery orders gone awry. AI is also being used to boost digital threat detection, says Palash Thakur, head of data analytics and fraud operations at Interac, the Canadian payments provider. 'The industry requires real-time insights to detect fraud patterns instantly and anticipate fraud attempts before they strike.' He sees generative AI and analytics as a strategic powerhouse, driving both immediate impacts and future readiness. 'We aim to shift from reactive reporting to proactive, anticipatory analytics that foresee client needs in a rapidly evolving financial landscape,' says Mr. Thakur. While Ms. Osmow embraces what AI can offer, she adds that it's not a replacement for team members. 'It's an efficiency piece that allows them to do their jobs faster and more seamlessly. We ask, 'What pain points do you have? What takes you the longest?' And then those are the things we look at in terms of AI.'
Yahoo
25-06-2025
- Business
- Yahoo
EarthDaily Ignites a New Era in Earth Observation with Landmark Satellite Launch
Successful Launch of First Satellite Marks Critical Milestone in Deployment of Next Generation Earth Observation and Broad Area Change Detection System VANCOUVER, BC, June 25, 2025 /CNW/ -- EarthDaily Analytics (EarthDaily) today announced the successful launch and initial contact with the first satellite of its EarthDaily Constellation, marking a major milestone in the deployment of its next generation Earth Observation system. Telemetry has been received, solar arrays have successfully deployed, and the satellite has transitioned to a safe attitude and is power positive. This achievement begins the rollout of the world's most advanced end-to-end Earth Observation system, delivering scientifically calibrated, daily global imagery paired with advanced AI and analytics. The system is designed to unlock broad area change detection, enabling smarter decision making, and transforming how industries and governments monitor our planet. This inaugural satellite is the first in a ten-satellite constellation. The remaining satellites are in the final stages of assembly and testing, with the full constellation expected to be operational next year, positioning EarthDaily for revenue generation across high-growth sectors. "This is not just the start of a constellation, it's the beginning of a new era in Earth Observation, and a clear signal of our market readiness," said Don Osborne, CEO of EarthDaily. "We are not just seeing the world as it is today; we will be predicting what it will be tomorrow. We've invested years in building this vision: a system capable of capturing the planet's changes with unmatched accuracy, every single day. This launch validates our technology and accelerates our path to becoming the leading provider of daily, AI-ready Earth intelligence." "The successful launch of EarthDaily's first satellite marks an important milestone in the company's business plan," said Chandra Patel, Managing Partner of Antarctica Capital. "Antarctica Capital has been a proud supporter of the company and its mission to be a vertically integrated industry leader focused on leveraging its AI-ready data, software, and data analytics to provide high-quality insights of critical value to high-impact industries. We believe the EarthDaily Constellation will catalyze a new chapter in Earth Observation and we are excited to see EarthDaily Analytics leverage the creation of this proprietary database of content that is unmatched in the industry." The EarthDaily Advantage: Superior Technology for Unmatched Insights The EarthDaily Constellation is designed to deliver consistent, high-quality, daily global coverage across more than 20 spectral bands. This proprietary data, optimized for AI and advanced analytics, powers precise change detection and actionable insights across high-impact industries including: Agriculture: Optimizing crop yields, managing resources, and improving agricultural risk assessment. Energy & Mining: Monitoring infrastructure, supporting resource exploration, and mitigating environmental impact. Spacial Finance: Improving risk modeling, underwriting, and market intelligence. Environmental Monitoring & Climate Resilience: Supporting sustainability initiatives, carbon tracking, and disaster response. Government & Defense: Enabling national security, infrastructure planning, and emergency management. Unlike existing offerings, EarthDaily's system delivers the capabilities of Sentinel-2 with higher resolution and daily revisit. Each satellite in the constellation is equipped with 16 advanced multi-sensor imagers, calibrated for precision Earth Observation to support global change detection at scale. Key features include: Daily Global Revisit: Reliable, consistent Earth coverage designed for industries requiring timely, accurate insights. High-Quality Data: Scientifically calibrated, multi-spectral imagery optimized for AI and machine learning applications. Osborne adds, "This is more than a launch. The EarthDaily Constellation is laying the foundation for the future of geospatial analytics and risk mitigation. By delivering consistent, AI-ready data daily, it enables customers to move beyond traditional Earth Observation and fully harness the power of data-driven intelligence. None of this would have been possible without the unwavering support of Antarctica Capital, who consistently shared in the vision of our relentless pursuit of what's possible." About EarthDaily:EarthDaily Analytics is a global leader in Earth Observation, providing data and insights that empower industries and governments to make informed decisions for a more resilient future. With the launch of its groundbreaking EarthDaily Constellation, the company is revolutionizing how we monitor, understand, and interact with our planet. Contact:For More InformationVisit: Tanya Cross VP of Global Marketing and Communications View original content to download multimedia: SOURCE EarthDaily Analytics View original content to download multimedia: Sign in to access your portfolio
National Post
24-06-2025
- Automotive
- National Post
ACEL Power Launches Marine Industry's First Integrated Low-Light HD Camera for Electric Outboards
Article content Purpose-built module delivers 1080p imaging, on-board AI analytics, and 4G/GPS connectivity—bringing unmatched visibility to electric boating. Article content VANCOUVER, British Columbia — ACEL Power, a leader in intelligent electric marine propulsion, today unveiled a compact, high-definition camera engineered specifically for its next-generation Intelligent Electric Series. This is the only factory-integrated camera available on any electric outboard platform, offering boaters and commercial operators real-time visual, diagnostic, and security data—without the need for aftermarket systems. Article content 'Skippers deserve better visibility and safer tools without adding complexity,' said Anthony Liu, CEO of ACEL Power. 'By embedding smart imaging directly into our electric outboards, we're giving users peace of mind—on the water and at the dock.' Built for challenging marine environments Article content True low-light performance: Sony 1/2.8″ 2 MP CMOS sensor delivers full-colour images at just 0.05 lux (0.01 lux B/W) and records 1080p video at 30 fps. Razor-sharp imaging: 2D/3D noise reduction, digital WDR (> 90 dB), and advanced image enhancement keep visuals crisp through glare, spray, and dusk. AI on the edge: Built-in analytics enable motion, intrusion, and face recognition, plus privacy masking—no external servers needed. Ultra-efficient streaming: H.265+ compression minimizes data load, with SD storage supporting up to 256 GB of local loop recording. Always connected: Dual-mode Wi-Fi, optional 4G CAT 4 modem, and GPS/BeiDou enable remote monitoring, geotagged alerts, and browser-based live support—no plug-ins required. Marine-ready form factor: Measuring just 38 × 38 mm, the unit draws as little as 1.2 W and is encased in a vibration-damped, IP-rated housing, purpose-built by ACEL to withstand saltwater exposure. Article content Smart boating meets smart diagnostics Article content 'This isn't just about adding a camera—it's about merging vision, diagnostics, and data into one intelligent system,' said Natasha Chawla, VP of Sales and Marketing at ACEL Power. 'By integrating smart analytics and connectivity directly into the propulsion unit, we're taking a meaningful step toward safer, more proactive boating.' Article content Availability Article content The integrated camera module will ship standard on ACEL's, IE50 IE75, IE150, AND IE250 electric outboards series, available now. The module is not available for inboard systems. Article content About ACEL Power Article content ACEL Power, headquartered in Vancouver, Canada, is a pioneering manufacturer of electric outboard propulsion systems, leading the marine industry in innovation and sustainability. Noted for introducing the world's first mass-produced 50 and 75HP electric motors, ACEL Power is committed to shaping a sustainable future through the creation of a smart electric eco-system. With a forward-looking vision, ACEL aims to offer a comprehensive range from 1HP to 650HP, establishing new benchmarks for marine propulsion in performance, safety, and longevity. Leveraging patented technology and integrated software solutions, ACEL Power is driving change towards a cleaner, more efficient boating experience. Article content Article content Article content Article content Article content Contacts Article content Media Inquiries: Article content Article content Article content
Forbes
10-06-2025
- Health
- Forbes
Data-Driven Approaches To Health Equity: AI And Analytics
FNU ANUPAMA | Senior Manager | Big 4 Global Consulting firm. Health equity—the concept that every person has a fair and just opportunity to attain their maximum level of health—has never rung more true in today's highly driven healthcare world. Yet despite decades of initiatives to make health access, care and positive outcomes more equitable across the distinctions of race, socioeconomics and geography, many inequities still exist—and in some cases, worsen. Where we stand, however, is that transformation is just around the corner. With data-driven solutions available through AI and analytics, agencies can determine inequities stemming from gaps in care and access and strive toward better solutions. With companies digitizing their efforts across the healthcare continuum, understanding the proper application of data to achieve equity solutions is no longer theoretical; it's practical. Inequities have existed for years, but no one knew how to effectively find them. Now, with accessible data in cloud-based formats and a higher reliance on AI to provide analytics, companies can sift through historical data in the clinical, demographic and socio-economic arenas to find inequities where they're invisible. For example, by analyzing patterns over time with electronic health records (EHRs), claims data and regional health, professionals can discover why certain demographics are more susceptible to certain chronic conditions or, alternatively, lack access to preventative services. Even better, it gives leaders the power to formulate solutions for populations instead of a one-size-fits-all approach. Clinical information is one piece of the puzzle, but factors are increasingly attributing health outcomes to life experience. For instance, social determinants of health (SDoH) include housing, food insecurity, educational attainment, employment and more. While just collecting this data is a start, applying AI to make it actionable is a game changer. Integrating SDoH into clinical workflows allows healthcare organizations to anticipate and prevent adverse health outcomes by addressing non-medical risk factors. For example, when AI models analyze clinical and social data, they can identify patients who may face future health issues. By alerting care teams, providers can intervene early—connecting patients with housing programs, transportation assistance or food banks—leading to better health outcomes and fewer avoidable ER visits. Furthermore, AI is assisting in what some call precision public health—the capability to direct resources, outreach and interventions where it needs to go. Organizations no longer have to estimate on broad awareness efforts. By assessing population data, demographics and neighborhoods can be identified as lacking certain elements. For instance, AI might reveal where vaccination rates are low or where diabetes is rising in specific communities. Public health can then deploy mobile vans, educational campaigns or telehealth to those areas to ensure that the right action is taken at the right time. However, where AI and data can be leveraged to make great advances in health equity, they can also create negative outcomes. Without careful consideration, the impacts can be devastating. Algorithms operate only as well as the data provided to them; if the historical data points are biased, AI can unintentionally intensify the inequities. Bias-aware AI is essential in healthcare to prevent the amplification of existing health disparities, especially as AI increasingly influences medical decision-making. Ethical development practices are crucial—health-related AI should be rigorously tested for bias, trained on diverse datasets and guided by equity-focused goals. Ultimately, trusting the communities impacted by health disparity is essential, regardless of the technological achievement created. Many vulnerable populations should be wary of the use of their data, thanks to historical discrepancies against specific populations. Therefore, for data-based health equity solutions to succeed, organizations must involve and continuously interact with communities from the beginning, provide decision-making for community leaders and be transparent about how data will enable better care. Trust occurs when communities get to see results that weren't expected. Ultimately, data-driven health equity solutions—equity in healthcare, treatment, drug dispensing and beyond—are a collaborative, multi-industry endeavor. Healthcare providers, insurance payers, community organizations, public health organizations and technology must come together to access and share information in a compliant, secure and responsible fashion. The challenge of integrating information from medical databases and socio-relational databases is twofold. First, it's essential to learn the social determinants of health leading to certain diagnoses. At the same time, the ability to do so requires sensitive data-sharing protocols that champion privacy and security safeguards while rendering real-time information that can help at that given time. This is an important next step for implementation. Making moves after learning is just as critical as learning from the onset. From restructuring how and where care can be delivered best, realigning service resources and creating services to address root causes of inequities discovered, the true power lies in new actions. The powers of data-driven solutions empower healthcare executives to achieve health equity—but technology is only part of the answer. The avenue for success relies on community engagement, ethical stewardship and cross-disciplinary collaboration. As the future of AI and analytics unfolds, this is a pivotal moment for technology to be applied in a fashion that not just contains and curtails disease but transforms health systems to operate correctly for all human beings—equitable and equal. Those creators and organizations who seize this moment will not only succeed in the technological arena but also create a sustainable socio-economic impact. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
02-06-2025
- Business
- Yahoo
Retail Inventory Management Software Market Worth $3.2 Billion by 2030: Insights Into Lucrative Trends and Emerging Industry Developments
Opportunities lie in cloud-based systems, AI-driven predictive analytics, and enhancing real-time visibility. Integration with existing systems remains a key challenge. Dublin, June 02, 2025 (GLOBE NEWSWIRE) -- The "Retail Inventory Management Software Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030F" has been added to offering. The Retail Inventory Management Software Market was valued at USD 1.59 Billion in 2024 and is expected to reach USD 3.20 Billion by 2030, rising at a CAGR of 12.36%. The market for Retail Inventory Management Software is expected to grow due to several factors, including the increasing adoption of cloud-based solutions, which provide scalability and flexibility to businesses of all sizes. Small and medium-sized enterprises are also adopting these systems, benefiting from their affordability and user-friendly interfaces. The rise in demand for real-time visibility and control over inventory across various sales channels, such as physical stores and online platforms, is driving the need for such software. Retailers are also increasingly relying on data analytics and artificial intelligence to enhance inventory forecasting, which further boosts the market's growth. As technology continues to advance, Retail Inventory Management Software will continue to evolve, integrating with Internet of Things devices, advanced machine learning algorithms, and other smart technologies that will further optimize inventory management, making the market even more attractive to businesses looking for ways to enhance efficiency and profitability. The increased focus on reducing waste, improving sustainability in operations, and the growing reliance on e-commerce platforms are also factors contributing to the rise of this market, as retailers seek innovative solutions to meet the challenges of modern inventory management. Consequently, the Retail Inventory Management Software Market is poised to experience significant growth in the coming years. Key Market Drivers: Increase in E-commerce and Omnichannel Retailing The continuous rise of e-commerce and the shift towards omnichannel retailing have significantly driven the growth of the Retail Inventory Management Software Market. Consumers increasingly demand seamless shopping experiences, whether they are shopping online, in-store, or through hybrid channels. This trend has intensified the need for retailers to maintain accurate inventory across multiple platforms. Retail Inventory Management Software plays a crucial role in managing inventory in real time across various sales channels, ensuring that stock levels are always up-to-date and orders are fulfilled without delays. The ability to provide accurate stock visibility across multiple locations, such as warehouses, distribution centers, and retail stores, is a key requirement for businesses that are operating in both physical and digital spaces. Retailers must be able to manage inventory efficiently to prevent stockouts and overstocking, both of which can lead to lost sales, increased costs, and reduced customer satisfaction. The integration of advanced tools within Retail Inventory Management Software, such as automatic stock replenishment and real-time tracking, ensures that inventory management becomes more responsive and adaptive to consumer demand. With more retailers focusing on omnichannel strategies, the demand for sophisticated Retail Inventory Management Software is intensifying. Retailers need systems that not only provide accurate inventory tracking but also offer data-driven insights into customer behavior, sales trends, and demand forecasting. This software enables businesses to achieve a unified view of their inventory, thus improving their ability to optimize stock levels and enhance the overall customer experience. In 2024, e-commerce accounted for over 18% of total retail sales in North America, with over 65% of consumers using multiple platforms - online, in-store, and mobile apps - to complete a single purchase journey, driving the need for unified inventory tracking across channels. Key Market Challenges: Integration with Existing Legacy Systems One of the primary challenges facing the Retail Inventory Management Software Market is the difficulty of integrating new software solutions with existing legacy systems that many businesses still rely on. Retailers, especially those with long-established operations, often have legacy infrastructure that is not compatible with modern software systems, making the integration process complex and costly. Legacy systems may be deeply embedded within business operations, making it difficult to migrate to more advanced Retail Inventory Management Software without disrupting daily activities or incurring significant downtime. This challenge arises from the fact that older systems were not designed to accommodate the new functionalities, such as real-time inventory tracking, cloud integration, and advanced data analytics, that modern software offers. As a result, the integration process requires substantial customization, technical support, and even complete overhauls of existing systems to ensure compatibility with the new software. Retailers may also need to invest in employee retraining and change management to ensure that staff can effectively use the new system. For many businesses, the costs associated with integration ranging from software customization to training and downtime can be prohibitively high, leading them to delay the adoption of new Retail Inventory Management Software or even forgo it altogether. This resistance to change can hinder the overall growth of the market, especially among small and medium-sized enterprises that lack the necessary resources to invest in such transitions. Businesses that fail to integrate their new systems effectively may struggle with inconsistent inventory data, poor decision-making, and operational inefficiencies, ultimately leading to a negative impact on profitability and customer satisfaction. To address this challenge, software providers are increasingly offering flexible, scalable solutions that can be tailored to integrate with legacy systems without requiring a complete overhaul. However, this remains a significant obstacle for many retailers, particularly those operating in complex environments or with outdated technological infrastructures. Key Market Trends: Adoption of Artificial Intelligence and Machine Learning for Predictive Analytics One of the prominent trends in the Retail Inventory Management Software Market is the increasing integration of artificial intelligence and machine learning technologies. These technologies are revolutionizing inventory management by enhancing forecasting accuracy and enabling predictive analytics. Retailers are leveraging artificial intelligence to analyze vast amounts of data, including past sales trends, seasonality, customer behavior, and external factors, to predict future demand. Machine learning algorithms are capable of learning from historical data and continuously improving predictions as new information is fed into the system, leading to more precise inventory management. With predictive analytics, retailers can optimize their inventory levels, ensuring that they stock the right products in the right quantities at the right time. This reduces the risk of stockouts and overstocking, both of which can be costly for businesses. Key Players Profiled in the Retail Inventory Management Software Market Oracle Corporation SAP SE Microsoft Corporation IBM Corporation Zebra Technologies Corporation Posist Technologies Private Limited Lightspeed Commerce Inc. Retail Pro International, LLC Brightpearl, Inc. Epicor Software Corporation Report Scope In this report, the Global Retail Inventory Management Software Market has been segmented into the following categories, in addition to the industry trends, which have also been detailed below. Retail Inventory Management Software Market, By Product: Advanced Radio Frequency System Barcode Scanning System Manually Managed Inventory System Retail Inventory Management Software Market, By Deployment: On-Premises Cloud-Based Retail Inventory Management Software Market, By Organization Size: Small & Medium Enterprises Large Enterprises Retail Inventory Management Software Market, By Region: North America United States Canada Mexico Europe Germany France United Kingdom Italy Spain Asia-Pacific China India Japan South Korea Australia Middle East & Africa Saudi Arabia UAE South Africa South America Brazil Colombia Argentina Key Attributes Report Attribute Details No. of Pages 185 Forecast Period 2024-2030 Estimated Market Value (USD) in 2024 $1.59 Billion Forecasted Market Value (USD) by 2030 $3.2 Billion Compound Annual Growth Rate 12.3% Regions Covered Global For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
