Predictive GenAI addresses the divide between the promises of AI and predictive technology and the realities of its lagging implementation.

Zohar Bronfman‎, our CEO and co-founder, shares a hard truth about GenAI and why it's crucial to refocus AI for greater business value.

In the rush to adopt GenAI, marketers are missing out on a far more impactful opportunity, says Zohar Bronfman, Pecan's co-founder and CEO.

The 2023 Digiday Technology Awards today announced the selection of Pecan AI as the Best Marketing Analytics Platform.

Pecan AI is now a Meta Business Partner for Measurement, recognizing our deep expertise and experience in supporting Meta advertisers.

Marketing mix modeling has come a long way from its 1950s roots. Pecan's CEO Zohar Bronfman maps the new territory of ML + MMM.

Pecan AI is the winner of the Insights and Analysis category in the 2023 Sales and Marketing Technology Awards.

Sifted, the Financial Times' startup-focused media company, chose Pecan for its Rising 100 list of top B2B SaaS startups in Europe & Israel.

Microsoft's partnership with Pecan brings the benefits of automated predictive analytics to more businesses.

Pecan's CEO Zohar Bronfman explains why machine learning is essential for effective user acquisition and provides steps for success.

Pecan AI today announced the addition of marketing mix modeling (MMM) to its suite of low-code, automated predictive analytics solutions.

Explainable AI builds trust in AI's recommendations and can offer significant business advantages, says Pecan CTO Noam Brezis.

What's next for AI in 2023? Enterprises will be newly vigilant when assessing AI's efficacy, says Zohar Bronfman, Pecan's co-founder and CEO.

Pecan AI's founders say their software enables even the least tech-savvy business team to harness machine learning to improve performance.

Acquiring high-value players by connecting a predictive lifetime value model with custom app event optimization for Facebook ads

Machine learning and data science can transform businesses with valuable insights that directly impact the bottom line. Still, many companies fear incorporating data science because it’s thought to be a complex, expensive endeavor.

Instead of getting overwhelmed by new data, use your data to your advantage so you can find more certainty and confidence in 2023.

Pecan AI wins Top 3 Data and AI Startups, Editors' Choice award. The awards recognize the companies and products that have made a difference in the big data community in 2022 and provide insight into the current state of the industry.

B2C marketers are leveraging predictive analytics for various uses, but also face numerous obstacles to using it more often, according to a report [download page] from Pecan.

For several years now, pundits have declared that data is more valuable than oil. But are companies really succeeding in extracting the most value from their data? What are some of the hidden costs of gathering and storing data, and how can companies get more from their data?

Many corporate executives still struggle to harvest insights from A.I.-powered data analytics.

Data analysis and utilization are necessary for B2C marketers. Learn from this study how they can predict future business trends and customer behaviors to have a competitive advantage.

Marketers have tons of data at their disposal. But 80% say they have trouble making data-driven decisions, according to a study from Pecan AI, conducted by Wakefield Research.

Companies can now gather more information about their customers than ever before. But according to a new study data science is not benefiting marketers, with 84 percent of marketing executives saying their ability to predict customer behavior is guesswork.

Pecan AI has published research based on a survey conducted by Wakefield Research entitled “The State of Predictive Analytics in Marketing 2022”.

Despite the growing availability of AI-powered technologies, many marketers are still in the early days of formulating their AI strategies.

While companies tout the criticality of consumer data on a variety of fronts the reality is that more than 4 out of 5 marketing executives report difficulty in making data-driven decisions despite all of the consumer data at their disposal.

While companies tout the criticality of consumer data on a variety of fronts, the reality is that more than 4 out of 5 marketing executives report difficulty in making data-driven decisions despite all of the consumer data at their disposal.

Brands have a long way to go before they get the maximum benefit from their data, judging by The B2C Perspective on Using Data to Predict Future Performance, a study from Pecan AI, conducted by Ascend2.

How can marketers use AI to drive better future predictions on what their customers will want? Zohar Bronfman, CEO and Co-Founder at Pecan shares more.

DALL-E, LaMDA, and GPT-3 all had celebrity moments recently. So, where’s the glamorous, high-performance model that’s mastered tabular data?

There is a skills gap between data scientists, analysts, and business users, and while several low or no-code platforms have aimed to resolve this, complexity remains for certain use cases. One company looking to bridge the gap between business analytics and data science is Pecan AI.

For businesses to make the most of their data, the key is to bridge the chasm between data science and BI.

As data science and AI technologies become more integrated into everyday business processes, more and more companies are seeing their tremendous benefits.

To start leveraging their BI data and make the leap to AI predictions, companies should consider these steps toward maximizing their data and their team’s potential.

By automating model deployment, Pecan takes critical next step in bringing data science to BI analysts, marketers, and other business users.

Pecan AI, a provider of AI-based predictive analytics for BI analysts and business teams, is adding one-click model deployment and integration with common CRMs, marketing automation, and other core business systems.

Predictive analytics startup Pecan AI Ltd. said today it’s bringing one-click model deployment and integration to common customer relationship platforms, marketing automation tools and other business systems.

Modern marketers are looking for better ways to identify and reach the right consumers. Many of them just don’t trust their metrics anymore, given all the business changes of the past two years. The cookies and third-party data that drove targeting innovations in the past have limited value today, and the cookieless future will be here soon, as Google, Apple, Firefox and others prepare for a phased exit of third-party cookies next year.

Zohar Bronfman, CEO and co-founder of Pecan AI, speaks on a panel held as part of Google and Calcalist’s Startup Week which focused on product-market fit.

After raising more than $100 million, the Israeli predictive analytics company's founders explain how their solution replaces data scientists and enables companies to compete with giants like Amazon and Google.

Every company gathers data and lots of it—customer data, market data, competitor data and industry data. Cloud systems, software as a service (SaaS) and business intelligence (BI) tools process zettabytes of data each year. But how many companies are able to make the best use of this data using the tools and teams they have today?

With a presence in NYC, Los Angeles and Israel, Pecan provides companies within the fintech, retail and mobile apps sectors with low-code data analytics that help predict performance indicators. Pecan’s AI data analytics can help companies improve customer lifetime value, retention, conversion rates, demand forecasting and other revenue-driving KPIs.

The promised advantages of big data analytics include faster innovation cycles, improved business efficiencies, higher productivity, and more effective R&D. Using big data, Netflix reportedly saves $1 billion per year on customer retention. But implementing big data infrastructure within an organization is often fraught with challenges, including poor data quality and a lack of expertise.

Engineers usually have to specify manually what factors an AI should consider when making a decision. The task historically required specialized machine learning expertise. Pecan AI’s platform, in contrast, allows users to perform feature engineering even if they don’t have extensive familiarity with machine learning technologies.

Pecan is a low-code predictive analytics and data science platform that enables companies to harness the full power of AI and predictive modelling without requiring any data scientists on staff. It helps business intelligence, operations, and revenue teams predict mission-critical outcomes– from strategic global demand forecasting to performance of everyday marketing campaigns, and everything in between.

At the turn of the century, an information revolution was beginning in business. Data-driven decision-making was breaking free from an ivory tower. The days when executives would guard a personal Microsoft Access server under their desk — their one resource for data and insights — were over.

Pecan, an AI-powered business analytics platform, has raised $35M in a Series B with participation from GGV Capital, S Capital, Dell Technologies Capital, and more.

Predictive analytics startup Pecan.ai today announced it has raised $35 million in a series B round led by GGV Capital. Cofounder and CEO Zohar Bronfman says that the funds will allow Pecan to expand its operations globally and help organizations adopt AI and big data.

Microsoft for Startups’ AI for Good accelerator in Israel in collaboration with the social enterprise Tech for Good has selected 14 Israeli startups for its first cycle.