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Business Journals
2 days ago
- Business
- Business Journals
49% of CRE leaders want more AI – Here's why
The commercial real estate market still faces many challenges and executives are looking for ways to lower costs — many are turning to technology. In Citrin Cooperman's latest survey of 440 commercial real estate leaders in conjunction with the Commercial Observer, respondents said AI was their number one opportunity over the next 12 months. They ranked it above new property management systems, better cybersecurity, more process automation, solar, listing services, and all else. Though as we will explore, AI has potential to help in nearly all of these areas as well. Using AI to model building information The No. 1 AI use case, 34% of respondents Leaders say the most common use for AI right now is modeling building information. In some cases that means working with geospatial information, such as using AI to visualize floorplates or run feasibility studies. A feasibility study provider can now use software to generate dozens of options for consideration in days rather than months. But modeling can also mean financial modeling, such as running the numbers on what it will take for a property or portfolio to achieve NOI. Current AI technologies can also help corporate development teams determine where buildings should go. The AI platform SiteZeus can ingest cell phone, traffic, parking, real estate, walkability, weather, and other data sources to show teams on a map the exact spots they should select. Some franchisors are providing this tool to their franchisees. AI cannot do everything, however. At least not without assistance. It cannot, for example, figure out how to actually put those real estate deals together. It cannot validate those decisions, run studies on the revenue or tax impact implications, nor advise on which financial instrument to use. To discuss how to turn the information generated by a real estate AI tool into reports, decks, and models your team can make decisions on, please reach out to Citrin Cooperman's Digital Services Practice. Using AI to source and match deals The No. 2 AI use case, 20% of respondents Teams can use AI to source and sort through deals. AI tools can scan all possible opportunities and rank them by the commercial team's requirements. Typically, commercial teams lose a great deal of time on market research, outreach, screening, and due diligence. AI tools are one way for them to reclaim and repurpose it. The software Skyline AI by JLL, for example, provides real estate investors with a data-driven view of their market that goes much deeper than typical census data, with a view of factors such as opportunity zones. offers automated commercial property appraisals and automatic document review, so brokers can save hours on reviewing leases, loan agreements, operating agreements, and more. Tools like Vena or Power BI can also reveal deal insights within your existing data: Your team can use them to create smart dashboards to forecast continuously without requesting new reports. AI tools do have one weakness: They are only as good as the data within your ERP system, which most real estate firms have not updated in years. A Citrin Cooperman survey of 1,000 private companies found that 42% of real estate companies say their number one blocker to adopting AI is 'integrations with existing enterprise resource planning (ERP) systems.' Our Digital Services Practice can review your ERP system to understand if your workflows and data are set up for you to use in deal-sorting AI. Property management The No. 3 use case, 20% of respondents Commercial real estate companies are using AI to directly manage their properties, plugging it into property management software to spot trends. This allows managers to see if vacancies are subtly rising so they know to invest in more marketing or start offering concessions. Similarly, they can spot fluctuations in utility and repair costs. Some smart devices like Omnidian for solar or Checkit for commercial appliances can detect near-imperceptible shifts in electrical device power signals to understand when they need maintenance — and auto-dispatch a technician for preventative maintenance. The 'smart' property trend can also be smart for tax reasons — investing in your building's service-layer can help you improve the amenities and take advantage of tax credits. Smart and environmentally rated devices may pay for themselves. More smart-devices and self-serve check-in kiosks and building management apps can also mean less need for staff walking the floors. This does not always mean fewer employees, but it does mean shifting those roles to other departments and may require you to review your union contracts and local employment regulations. Finance The No. 4 use case, 9% of respondents Finally, commercial real estate teams are using AI to complete finance tasks. Many of these AI systems are coming into the real estate world through general applications, such as how Google's Gemini assistant is now available in Google Sheets. Whereas some are specific to real estate. The software Yardi offers a type of smart spreadsheet reporting that Citrin Cooperman Managing Partner of Business Process Outsourcing Mike Zyborowicz calls the Swiss Army Knife of property management and notes that, 'It enables you to do everything from managing your assets to crunching numbers so you can better manage tenant satisfaction or overhead expenses.' What AI tools will not do, however, is certify the results of studies around how to increase occupancy and improve company profitability. Nor can AI tools yet look forward to advise on where the market is headed and suggest new configurations for your capital stack, such as preferred equity or mezzanine debt. AI works best when supported by a financial advisor AI has vast potential in the commercial real estate sector and is one sure way to help reduce costs. But it is never as easy as 'plug and play.' To turn your team's AI pilots into actionable insights your firm can place class-A bets on, you may need a financial firm that specializes in advisory, audit, assurance, tax, and technology. Only then can you ensure the data within your systems is worthy of basing decisions on, and that you have considered the full breadth of financial and tax implications. To discuss how Citrin Cooperman's Real Estate Industry Practice can help your business reduce operating expenses with investments in AI, and maximize the tax benefits of such investments, reach out to Jessica Garber or Adam Lazarus. Citrin Cooperman is one of the nation's largest and fastest-growing professional services firms. Since 1979 our daily mission has been to help middle-market companies and high net worth individuals find success in their business and personal financial lives through our proactive guidance, specialized services, and passion for excellence. Rooted in our core values, we deliver a comprehensive, integrated business approach, including tailored insights throughout the lifecycle of our clients. Whether your operations and assets are located around the corner or across the globe, we provide new perspectives on strategies that help you achieve your short- and long-term goals. With over 30 offices and more than 3,500 professionals, Citrin Cooperman is included in the Top 20 Firms by Accounting Today. Learn more about Citrin Cooperman at "Citrin Cooperman" is the brand under which Citrin Cooperman & Company, LLP, a licensed independent CPA firm, and Citrin Cooperman Advisors LLC serve clients' business needs. The two firms operate as separate legal entities in an alternative practice structure. The entities of Citrin Cooperman & Company, LLP and Citrin Cooperman Advisors LLC are independent member firms of the Moore North America, Inc. (MNA) Association, which is itself a regional member of Moore Global Network Limited (MGNL). All the firms associated with MNA are independently owned and managed entities. Their membership in, or association with, MNA should not be construed as constituting or implying any partnership between them.
Hans India
3 days ago
- Business
- Hans India
Exciting careers in statistics and data science
In a world driven by information, careers in statistics and data science offer exciting opportunities for students who love numbers and solving real-world problems. From predicting diseases and shaping policies to building AI systems and forecasting market trends, data professionals are essential across industries. With skills in statistics, programming (Python, R), and data visualization, students can pursue roles like data analyst, scientist, or machine learning engineer. These careers combine technical expertise with critical thinking to turn raw data into insights that shape the future. If you're curious, analytical, and want to make a difference, this dynamic field could be your calling In today's fast-paced, information-rich world, data has become one of the most valuable resources. From social media algorithms and medical breakthroughs to financial forecasting and climate predictions—everything runs on data. Careers in statistics and data science are booming because industries across the board need experts who can make sense of massive amounts of information. For students with a knack for numbers and a passion for problem-solving, this is one of the most exciting fields to explore. Why careers in data matter Data is more than just numbers on a screen. It tells stories, reveals patterns, and helps us make informed decisions. Professionals in data-related careers transform raw data into actionable insights that impact real-life outcomes. Whether it's improving healthcare systems, driving smarter marketing strategies, or designing self-driving cars—statistics and data science play a central role. • Healthcare:Disease prediction, personalized treatments, health policy design • Business & Marketing:Consumer analytics, sales forecasting, product development • Government & Policy:Census analysis, social welfare planning, urban development • Technology & AI: Recommendation engines, facial recognition, automation • Finance:Risk analysis, fraud detection, investment modeling Career Data Analyst:Turns data into visual insights that guide business decisions. • Statistician:Designs studies and applies statistical models to interpret data. • Data Scientist:Uses machine learning and programming to predict outcomes. • Machine Learning Engineer:Builds systems that learn and improve over time. • Business Intelligence Analyst:Helps companies make strategy-driven decisions using data. • Econometrician:Applies statistical techniques to economic data to solve complex problems. Skills To succeed in these careers, you'll need a mix of technical andsoft skills: • Statistical Knowledge –Understanding probability, distributions, and data inference • Programming Languages –Especially Python, R, and SQL • Data Visualization Tools –Like Tableau, Power BI, Excel, or Matplotlib • Mathematical Aptitude –Linear algebra, calculus, and logic • Analytical Thinking –Breaking down problems and identifying patterns • Communication Skills –Presenting data in a clear and compelling way • Curiosity –A genuine interest in exploring and solving real-world questions The world is changing rapidly, and those who can make sense of data will lead the way. Careers in statistics and data science are not just about math—they're about making smart decisions, solving big problems, and creating real impact. If you enjoy puzzles, logical thinking, or asking 'why' and 'how' questions, this could be the path for you. By building your skills today, you'll be prepared for a future where data is more than a tool—it's a superpower.
Time of India
4 days ago
- Business
- Time of India
Data analyst or financial analyst: Which role offers better career growth?
In today's fast-changing job market, two roles stand out for anyone who enjoys numbers, insights, and strategy: data analyst and financial analyst. Both careers are in demand, promise strong salaries, and put you at the center of decision-making. But if you're wondering which path offers better long-term career growth, the answer isn't as simple as one being "better" than the other. It all depends on your interests, strengths, and how you want to grow. Let's break it down—what each role involves, what kind of person thrives in it, and where it can take you in five or ten years. Financial Analyst A financial analyst is responsible for evaluating a company's financial data to assist with decision-making related to budgeting, investment, and long-term planning. Their work typically involves analyzing financial statements, preparing financial models, forecasting future performance, and monitoring economic trends. Key Responsibilities: Prepare and analyze balance sheets, income statements, and cash flow reports Build financial models to project future revenue and expenses Conduct variance analysis and identify business risks Support investment decisions or strategic planning Industries: Finance, banking, corporate sectors, insurance, investment firms Data Analyst A data analyst focuses on collecting, processing, and analyzing large volumes of data to uncover patterns and trends. They work across industries and apply statistical methods and data visualization tools to provide insights that drive operational and strategic decisions. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 8주 커리큘럼 파고다어학원 더 알아보기 Undo Key Responsibilities: Extract, clean, and organize data using tools like SQL Use Python, R, or Excel for statistical analysis Create dashboards and visual reports using Tableau or Power BI Communicate findings to stakeholders to improve business outcomes Industries: Tech, healthcare, e-commerce, logistics, government, consulting, especially in tech-driven industries where data is at the heart of every decision. How the skills can shape your path The kind of work you enjoy doing plays a huge role in which career path will feel right for you. If you love finance, economics, and tracking how companies grow and earn, financial analysis may feel more natural. On the other hand, if you enjoy working with large datasets, coding, and discovering trends hidden in raw information, then data analysis might be a better fit. Financial analysts often come from backgrounds in commerce, finance, accounting, or economics. They're usually very comfortable with Excel, financial modeling, and interpreting business reports. Data analysts tend to have academic roots in math, engineering, statistics, or computer science. They're more likely to write code, use visualization tools, and experiment with machine learning techniques. That said, there's a lot of crossover. Financial analysts today are expected to work with data tools, and data analysts often need strong business acumen. So, even if your background doesn't perfectly match one role, you can still pivot into it—with the right learning and upskilling. Comparing growth potential Both roles offer strong starting salaries and a stable career track. However, the kind of growth you experience—and how quickly you rise—can vary. Data analysts , especially those who work in tech, often see faster early-career growth. That's because tech companies value data-driven decisions, and as a result, they invest heavily in analytics teams. Data analysts can quickly progress into more technical roles like data scientist, analytics manager, or product analyst, often with pay raises that outpace traditional roles. Financial analysts may grow at a more measured pace, but their roles tend to carry more influence within corporate decision-making. Over time, financial analysts who prove their strategic thinking and business judgment often move into leadership roles. These positions come with higher salaries and decision-making power, particularly in sectors like investment banking or corporate finance. While it may take longer to reach a top role in finance, the destination can be very rewarding—especially for those aiming to become CFOs or financial directors. Which career is more in demand? The job market is expanding for both roles, but in slightly different ways. Data analytics is growing rapidly across all sectors, not just in tech. Whether it's healthcare organizations tracking patient outcomes or retail companies analyzing customer trends, data analysts are needed everywhere. The versatility of the role gives it a clear edge in terms of flexibility and industry mobility. Financial analysts, on the other hand, continue to be in strong demand in more traditional sectors like banking, corporate finance, and insurance. While they may not have as broad a footprint across every industry, they play an essential role in organizations where financial precision and investment planning are crucial. So, which role truly offers better career growth? The answer depends on how you define growth. If you're looking for speed, flexibility, and access to cutting-edge tools and industries, data analysis might take you there faster. But if you're seeking stability, influence in business decisions, and a path to executive leadership, financial analysis offers a powerful long game. The real secret is this: choose the role that fits your interests and learning style. You can always grow, pivot, and specialize later. Both careers offer a future-proof path—but the one that keeps you engaged, curious, and excited to learn will take you the farthest. Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
Yahoo
5 days ago
- Business
- Yahoo
MSTR Expanding AI With Mosaic: Is the Stock Evolving Beyond Bitcoin?
MicroStrategy MSTR, doing business as 'Strategy,' has taken a significant step in expanding its AI capabilities with the general availability of Strategy Mosaic, an AI-powered Universal Intelligence Layer. This launch aligns with the company's shift toward cloud-first, subscription-based services and could contribute positively to revenue and earnings expectations by enhancing demand for its AI plans to scale its cloud offerings and deepen customer engagement. As enterprise demand for trusted, scalable AI infrastructure grows, the success of Mosaic may well determine the next chapter in MSTR's subscription-driven impact is already evident in the company's Subscription Services segment, which saw a 61.6% year-over-year increase in revenues, reaching $37.1 million in the first quarter of 2025. Mosaic complements this growth by allowing customers to integrate data from over 200 sources, automate semantic modeling and deliver AI-ready insights across tools like Power BI, Tableau and traditional one-time product licenses, Strategy's subscription offerings, now bolstered by Mosaic, deliver ongoing value through data governance, semantic consistency and integrated security. With Mosaic's AI-powered Studio, customers can dramatically speed up data preparation and metric creation using natural language, enhancing time-to-value and user adoption. These features are not just technological enhancements but also open doors for cross-selling within the cloud ecosystem. Riot Platforms RIOT is transforming its 600 MW of idle capacity into an AI and HPC hosting platform, targeting enterprise clients alongside its Bitcoin mining operations. Riot Platforms differentiates itself by offering physical AI compute infrastructure, positioning for long-term subscription revenues. While Strategy focuses on AI-enhanced analytics through its proprietary software suite, Riot Platforms competes by offering physical AI compute infrastructure. This strategic pivot underscores Riot Platforms' goal to become a major player in AI Holdings MARA is leveraging its advanced immersion-cooling tech and grid-responsive power control to enable co-located AI inference together with Bitcoin mining. The company is licensing its 2-phase immersion systems and collaborating with data-center operators. MARA Holdings positions itself as an AI infrastructure enabler. Unlike Strategy's focus on AI software analytics, MARA Holdings is building the physical backbone for AI deployments, highlighting a clear distinction in how both firms approach the AI opportunity. Shares of Strategy have gained 33.5% year to date compared with the Zacks Computer – Software industry's return of 13.5%. Image Source: Zacks Investment Research MSTR has a Value Score of F. It is currently trading at a Price/Book ratio of 3.21 compared to the sector's 9.94X. Image Source: Zacks Investment Research The Zacks Consensus Estimate for MSTR's 2025 loss is currently pegged at $15.73 per share, unchanged over the past 30 days. The estimate suggests a steep year-over-year decline of 134.08%. Image Source: Zacks Investment Research MSTR stock currently carries a Zacks Rank #3 (Hold). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report MicroStrategy Incorporated (MSTR) : Free Stock Analysis Report Marathon Digital Holdings, Inc. (MARA) : Free Stock Analysis Report Riot Platforms, Inc. (RIOT) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Associated Press
5 days ago
- Business
- Associated Press
ASAPP Financial Technology Launches ASAPP OXP® Version 22.0, Enhancing Address Accuracy and Reporting Intelligence
TORONTO, ONTARIO, CANADA, June 27, 2025 / / -- ASAPP Financial Technology is proud to announce the release of ASAPP OXP ® Version 22.0, delivering significant enhancements to its Origination and Engagement capabilities. This latest version introduces improved rural address handling and a powerful new reporting infrastructure, designed to elevate both member and staff experiences across Canadian credit unions and financial institutions. Smarter Address Handling for Rural Applicants Version 22.0 introduces advanced logic for rural address validation, ensuring greater accuracy and user control. When Canada Post cannot locate an exact match, the system now intelligently selects the closest available address. New validation checks also prevent incorrect data entry by rejecting addresses outside the original postal code or province. Applicants are prompted to manually confirm their address when necessary, improving data integrity and user experience. Robust Reporting Infrastructure with Power BI Integration To support deeper insights and operational efficiency, ASAPP has launched a dedicated Microsoft Azure Data Reporting Service. This secure infrastructure provides nightly-updated, flattened reporting extracts, enabling Client-Partners to access critical data through templated Power BI dashboards or their own customized reports. Empowering Client-Partners with Actionable Insights The release of templated Power BI dashboards provides immediate value, allowing Client-Partners to visualize and act on key performance indicators. These dashboards are fully customizable and compatible with internal Power BI licenses, offering flexibility and scalability. 'Version 22.0 reflects our commitment to continuous innovation and Client-Partner success,' said Steve Sauve, Chief Product Officer of ASAPP Financial Technology. 'By enhancing address accuracy and unlocking new reporting capabilities, we're helping our Client-Partners deliver more personalized, data-driven experiences with less room for errors and guesswork.' -30- About ASAPP Financial Technology ASAPP Financial Technology provides Customer Experience Software that supports regulated financial institutions as they Originate, Onboard, Understand, and Grow their Customer Relationships. In Canada, the ASAPP OXP® | Omnichannel Experience Platform has helped over 50 Canadian credit unions create sustainable competitive advantages to compete against direct-to-consumer fintech solutions. In the United States, the OXP® | Omnichannel Experience Platform delivers Origination and Engagement feature sets that leverage our experience gained supporting Canadian financial institutions, while delivering a solution that adapts to the challenges and opportunities for the US credit union and community bank markets. JR Pierman ASAPP Financial Technology Inc. +1 705-257-8503 email us here Visit us on social media: LinkedIn YouTube Legal Disclaimer: EIN Presswire provides this news content 'as is' without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
