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FedEx founder's Memphis family sets FWS Enterprises
A little more than a year after the death of FedEx founder Fred Smith, his family is being more strategic with investments and philanthropy, Richard Smith said.
Space Science’s Golden Age Problem
The White House released a sweeping vision for the nation's R&D enterprise, with significant implications for space sciences.
Small Business: Planning for the Future, Your Way
Voice of Business Blog Guest post from Greater Rochester Chamber member Bank of America As entrepreneurs and small businesses here in Rochester prepare for Q3 and Q4, many are navigating uncertainty. These small businesses – from new ventures to established family-run enterprises – are essential to Rochester’s success. According to a 2025 U.S. Small Business Administration report, Rochester…
MCP just got its biggest update ever — here’s what changes for AI agents
The Model Context Protocol’s biggest update yet makes MCP stateless, strengthens security and governance, and positions AI agents for large-scale enterprise deployment across cloud and Kubernetes environments.
Skanska delivers $380M LAX project, touts small business partnerships
The contractor said it surpassed all of its targets for inclusion of small, local and veteran-owned business enterprises on the project.
Fort Smith Metro News Briefs: Physician, business award nominations sought, FSPD detectives recognized
Following are recent news brief items from the Fort Smith metro. Business Awards The University of Arkansas at Fort Smith Center for Economic Development (CED) and Jim Walcott Family Enterprise...
AI-based exam queue tool prioritizes CT scans in the ED
A new paper in Radiology: Artificial Intelligence details how an AI-driven CT queue prioritization system can improve patients’ time to diagnosis without requiring additional imaging equipment or staffing.
Trump’s Science Adviser Wants to Overhaul “Increasingly Calcified” U.S. Science Enterprise While Science Funding Lags
A report released this week directs the U.S. government to spark a “new golden age” of science by ushering funds toward artificial intelligence, fostering closer relationships with private industry, and dismantling and rebuilding the federal science funding process.
Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI
/PRNewswire/ -- Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s....
AT&T Business Named Visionary Leader by Frost & Sullivan
Frost & Sullivan recognized AT&T Business as a Visionary Leader in Dedicated Internet Access, Ethernet Services, and Global Enterprise Network Services.
'Star Trek: The Next Generation' cast: See what became of the Enterprise crew nearly 40 years later
'Star Trek: The Next Generation' ushered in a golden age for the beloved franchise. See Patrick Stewart, Jonathan Frakes, Gates McFadden, and more nearly 40 years after the premiere.
Clint Reilly, influential SF political strategist and San Francisco Examiner owner, dies at 79
For decades, Clint Reilly was one of the most influential figures operating behind the scenes of Bay Area politics, managing campaigns for Nancy Pelosi, Barbara Boxer and Dianne Feinstein, advising candidates and helping professionalize a political consulting industry that would grow into a year-round enterprise. He died Sunday at 79.
Pet medications now available at CVS Pharmacy®
Pet owners can now fill eligible pet prescriptions at CVS Pharmacy locations nationwide, with convenient options including refills, prescription management and delivery.
Building the Future of AI at American Express: Meet Berta Rodriguez-Hervas, SVP of Enterprise AI Platforms
Building the Future of AI at American Express: Meet Berta Rodriguez-Hervas, SVP of Enterprise AI Platforms
Mid-Hudson Valley business calendar for the week of July 20, 2026
July 21 and 28: Women’s Enterprise Development Center free course, Bookkeeping & QuickBooks: Know Your Numbers, Grow Your Business (two-part series), 6-8 p.m., 3 Neptune Road, Poughkeepsie. The course includes two sessions: Bookkeeping…
I'm an enterprise consultant, and here's the truth about AI layoffs
Max Votek, an enterprise consultant on AI adoption, said that AI layoffs are not what they seem to be and explains the economics behind the scenes.
CHAI seeks to support public health agency uptake of genAI
Its new national initiative will engage 2,000 public health practitioners to arrive at and pilot five key generative artificial intelligence use cases with large language model access through enterprise licenses donated by Anthropic and OpenAI.
Three companies to join Howard County business community
Through a joint venture between Greenebaum Enterprises Inc. and St. John Properties Inc., three tenants will be joining Montpelier Research Park in Laurel.
Star Trek's William Shatner will headbang with music legends at Riot Fest 2026
From captain of the Enterprise to heavy metal headliner.
L7 Informatics Names Ray Veeraraghavan, Ph.D., Vice President of Science and AI
/PRNewswire/ -- L7 Informatics, Inc., the company behind L7|ESP®, the Enterprise Science Platform that serves as an operating system for precision science,...
Sports without politics is a fantasy and the World Cup proves it
From ancient Greece to Nazi Germany, sport and politics have long been intertwined. Nevertheless, we still imagine that international sport can be kept above the fray and serve as a neutral arena where nations compete on merit alone. In this article, diplomacy scholar Geoffrey Allen Pigman argues the 2026 FIFA World Cup shows this is a dangerous illusion. When international sport is left entirely to revenue-maximizing private bodies like FIFA, it doesn't escape politics, but rather surrenders to its worst expressions. With the 2028 Los Angeles Olympics fast approaching, the IOC must decide whether to learn that lesson or repeat the same mistakes. The largest and most lucrative FIFA World Cup ever draws toward its climactic conclusion amidst a swirl of controversy. Team members, staff, fans, and spectators have been denied their right to enter the United States to participate, and US President Donald Trump intervened with FIFA boss Gianni Infantino to overturn a referee’s call that Trump believed disadvantaged the US national team. It is a moment to step back and reflect on what the purposes of international sport mega-events like the World Cup, and international sport more broadly, are, and what they should be. Does international sport serve public purposes? Is there a public interest? Or is it primarily a private endeavor organized by commercial enterprises to entertain the global public (and generate profit in the process), which is occasionally used by governments and leaders for raisons d’etat? Central to the idea of sport is the principle of fair play, which in the international context demands that games be free from political interference. However, it is impossible to separate sport from politics, all claims to the contrary notwithstanding. The most positive political use of international sport through the millennia has been to facilitate diplomacy. The use of international sport for diplomatic objectives has existed since at least the time of the ancient Olympic Games, around which was instituted the custom of the Ekecheiria, or Olympic Truce, between participating states to facilitate fair competition and diplomatic achievements by ensuring that participants could travel safely to the Olympiad. In his seminal work On Diplomacy (1987), diplomacy scholar James Der Derian characterized the objectives of diplomacy as overcoming alienation and mediating estrangement between governments and between peoples. One increasingly important diplomatic tool in the technology-infused media environment over the past century has been public diplomacy, under which governments and non-state diplomatic actors (e.g. transnational corporations) communicate to global publics about their international policy objectives and to shape their global brand image. Political scientist Michał Kobierecki, in his important book Sports Diplomacy (2020), views sports diplomacy as falling broadly within the ambit of public diplomacy, as international sport intimately involves the participation of global publics as spectators and consumers of global media. Diplomacy scholar Stuart Murray and this author, in a 2013 article, distinguish between international sport used for diplomatic purposes and international sport-as-diplomacy, which encompasses the range of diplomacy that occurs as teams and competitors, spectators and fans, and government officials all converge for international sporting events like the Olympic Games and FIFA World Cup. Diplomacy scholar H.E. Chehabi, in a 2001 article on US-Iran sports diplomacy, describes the interaction between spectators and fans at international sporting events as “people-to-people diplomacy,” in which relationships develop independently of governments and their objectives. Diplomacy by the aforementioned definitions is often unsuccessful. Moreover, all too often the tools of diplomacy may be employed by governments and other actors to thwart or oppose the objectives of diplomacy as characterized by Der Derian. Governments routinely use the tools of public diplomacy to disseminate propaganda, spreading misinformation in the attempt to deceive global publics about their objectives and to create misleading impressions about their brand identity. Within sports diplomacy, the term “sportswashing” has been coined recently to describe how governments invest in and promote international sport to create positive global public impressions of their nations and, in doing so, to distract the global public from their deficient records in areas such as human rights and democratic governance. Murray, in his 2018 book Sports Diplomacy: Origins, Theory and Practice, introduces the concept of sports anti-diplomacy, wherein governments intentionally use international sport to advance aggressive and nationalistic objectives. Obvious historical examples include Hitler’s use of the 1936 Berlin Olympics to glorify his Third Reich and the 1969 El Salvador-Honduras football “war.” SUGGESTED READING The beautiful game made ugly By Emily Ryall FIFA argues that it is and seeks to be apolitical in its stewardship of international Association Football (soccer). FIFA policies governing bids to host the World Cup require uninhibited and non-discriminatory access for players, team staff, and spectators of all participating countries to host nations and venues. It became clear soon after Trump returned to power in the United States in January 2025 that Trump’s political intentions and objectives to limit non-US citizens from living and working in the United States and, in numerous cases, even visiting the country, would collide with FIFA’s host nation policies. Beginning soon after the start of the second Trump administration, US federal authorities imposed restrictions on entry to the United States of citizens of between 20 and 40 countries for any purpose, with only limited exceptions. Federal Immigration and Customs Enforcement (ICE) began arresting non-US citizens in the United States, including persons with and without legal status, holding them in jails, concentration camps, and other detention facilities until they were deported to their home or third countries, where they faced substantive risks to their personal safety. FIFA boss Gianni Infantino, in an effort to ensure the most successful and lucrative World Cup in history, engaged diplomatically with President Trump in an attempt to facilitate entry to the US for World Cup participants. Infantino did all in his power to ingratiate himself with Trump, to the extent of creating a FIFA “Peace Prize,” which he awarded to Trump in December 2025 at a ceremony in the then Trump-controlled John F. Kennedy Center for the Performing Arts in Washington, DC, on the occasion of the World Cup draw. The prize was an ersatz consolation for someone who aspired in vain to win the rather more prestigious and well-known Nobel Peace Prize. And in the run-up to the World Cup, conditions became worse. In February 2026, Trump and Israeli Prime Minister Benjamin Netanyahu launched a war of aggression against Iran, illegal under international law, under the false pretence that Iran’s government was preparing to attack the United States and Israel. During the US aerial bombardment of Iran, US planes bombed Azadi Stadium, the facility where Iran’s national football team trained. As the 2026 FIFA World Cup began, it was clear that Infantino’s efforts had been for naught: the Trump administration would not adhere to FIFA policies governing access to World Cup host nations. World Cup referee Omar Artan, a citizen of Somalia, was denied a US visa to enter the United States to participate in the World Cup. Trump’s government only granted US visas to Iran’s football team ten days before they were scheduled to arrive for the tournament. Numerous members of the support staff for Iran’s team were denied US visas. Iran’s team, which had been scheduled to train in Arizona, was directed to shift its training site to Tijuana, Mexico, notwithstanding that all three of their group stage matches took place at US venues. The US Department of Homeland Security only permitted the Iranian team to enter the US on the day before each scheduled match and then to return to Mexico immediately after playing. Members of Iraq’s and Switzerland’s football teams were delayed for hours by US officials at the US border, and an Iraqi team photographer was refused entry. Spectators and fans from Haïti and Iran were denied entry to the United States altogether. A large number of fans from a range of countries had their applications for US visas rejected. There were multiple off-ramps through which participants could have avoided the negative consequences of Trump’s decisions for the 2026 World Cup. Once it was clear that the Trump government intended to violate the established expectations for World Cup hosts, FIFA could have shifted the matches scheduled to take place in the United States to Mexico and Canada. The three nations were already designated as co-hosts, and host cities and venues had been selected. Once it was clear that FIFA, governed by FIFA boss Gianni Infantino’s dependent and dysfunctional relationship with Trump, would never consider this option on its own, it fell to the national football federations to act. The national federations, particularly some combination of federations of the leading contenders (France, Spain, Brazil, Argentina, Morocco, England, Germany, etc.), could have refused to participate under the US-imposed conditions or, at the least, demanded an ironclad agreement with the Trump government that FIFA policies on access would be respected. ___ International sport is inextricably entangled with diplomacy of different sorts, for good or ill, it cannot be considered to be in the purely private realm and left to revenue-maximizing private actors. ___ Why did neither FIFA nor the national football federations act to protect the interests of players, team staff, referees, fans, and spectators? In essence, the relentless engines of capitalism prevailed over norm observance, ethics, and fair play. The revenue interests of FIFA, sponsors, global media, and host cities won out. FIFA’s managers viewed hosting another World Cup principally in the United States as a veritable pot of gold for FIFA and its collaborators. FIFA has estimated its own revenue over the 2023-26 budget cycle, which includes the 2026 World Cup, at $13 billion, revised up from an initial projection of $11 billion, and 72% higher than the previous revenue cycle. Of that total, FIFA is estimated to have generated $8.9 billion from the Cup itself in revenue from TV rights ($3.92 billion), sponsorships ($2.69 billion), ticket sales ($3.1 billion), licensing rights, and other sources. A joint study by FIFA and the World Trade Organization estimates that the World Cup will contribute over $40 billion to global GDP, including nearly $14 billion in direct visitor spending in the three host countries (but principally in the United States, which hosted the lion’s share of the matches). The FIFA World Cup is now reportedly “the single most lucrative recurring commercial property in global sport.” And yet, notwithstanding the Trump government’s uses of the World Cup for sports anti-diplomacy, and the climate of anxiety that this created for participants and spectators, diplomacy that did not depend upon governments was able to thrive at the World Cup. Examples of successful people-to-people diplomacy were legion, as citizens of towns and cities across the States, as well as in Mexico and Canada, welcomed team members, their families and supporters, to training sites across North America. Fans of different teams joined together in person in stadiums for matches, at watch parties and bars, and at welcome events sponsored by host cities. The joy and camaraderie shared between the citizenry of Boston and Scotland’s “Tartan Army” of fans is but one example of how the “Beautiful Game” brings people together. Friendships forged across continents are likely to endure well beyond the Cup final. Even those achievements cannot be seen as unalloyed, however. As South African football fan Byron Pillay commented to Al Jazeera, “Football is called the Beautiful Game for a reason, for its ability to unite people. But it’s hard to believe in that magic with the politics and war rhetoric off the field of play, especially when one of the tournament hosts is central to that.” Ultimately, the experience of the 2026 FIFA World Cup illustrates that, as international sport is inextricably entangled with diplomacy of different sorts, for good or ill, it cannot be considered to be in the purely private realm and left to revenue-maximizing private actors. As long as there is the possibility of diplomatic progress in mediating estrangement between governments or between peoples, there is a broad and overarching public interest in international sport. Likewise, as it would be difficult to put on an international sport mega-event without international sporting organizations like FIFA and the International Olympic Committee (IOC), global media firms, and companies purchasing sponsorships, public and private interests in international sport must coexist, most likely somewhere on a shifting spectrum between partnership and rivalry or cross purposes. As the World Cup wraps up, the IOC needs to consider its lessons before the scheduled 2028 Los Angeles Olympics if they want to avoid a media-hyped Trump version of the 1936 Berlin Olympiad. The IOC and the National Olympic Committees need to set conditions on and make demands of Trump’s government with clearly articulated consequences for non-compliance, up to and including cancellation of the Games. Time is running out for the IOC, as unlike with the FIFA World Cup, there is no at-the-ready alternate venue for Los Angeles.
State of Indiana to end minority and women's business contracting program
Gov. Mike Braun's announcement comes after Attorney General Todd Rokita issued an opinion stating that the Minority and Women's Business Enterprises program is unlawful.
Indiana Gov. Braun to end minority and women's business contracting program
The announcement comes after Attorney General Todd Rokita issued an opinion stating that the Minority and Women's Business Enterprises program is unlawful.
Velocity Raises $38 Million as Stablecoins Reshape Mainstream Business Finance
Velocity raised $38 million in a Series A funding round to expand its stablecoin payments and treasury platform designed for global enterprises, according
Vieu Launches The World's First "Business Graph", Built For Agents And Humans
SEATTLE, July 14, 2026--Vieu's Business Graph maps global business relationships, powering enterprise scenarios like sales, marketing, talent, fundraising, and partnerships.
Scenes From Rise Family Office's Athlete Enterprise Symposium
Professional athletes joined investors and executives for conversations on entrepreneurship and financial legacy.
Microsoft Entra ID gets passkeys default authentication starting September
Microsoft has announced that passkeys will become the default authentication method for the Entra ID enterprise identity service starting September 2026.
Satya Nadella has issued a shocking warning to companies using AI
In a surprising blog post on Monday, Microsoft CEO is warning enterprises of the dangers of using proprietary models like Anthropic's and OpenAI's.
Uber Blew Its Whole 2026 AI Budget By April. Small Businesses Are Next
Uber spent its 2026 AI budget in four months. Anthropic built spend caps into Claude Enterprise. The cap-and-trace playbook small businesses need now.
Governor Moore Announces Expanded, Redesignated Enterprise Zones in Maryland
Governor Moore Announces Expanded, Redesignated Enterprise Zones in Maryland
O’Rorke, Loeffler discuss newly-created Bulldog Sports Enterprises
(KSEE/KGPE) – Fresno State Athletics is trying something new with its intellectual property and multimedia rights this year, but although the station may be changing, a familiar voice will still be calling their games on the radio. On Bulldog Insider Sunday night, Ryan O’Rorke, the Vice President and General Manager of the newly-created Bulldog Sports […]
NMU receives state funding for business building
MARQUETTE — As part of Michigan’s 2027 fiscal year budget that was approved by the Legislature July 3, Northern Michigan University received construction authorization for the Northern Enterprise Center, which will house the NMU College of Business. The total cost of the project is estimated to be $22.98 million, according to a university press release. […]
‘Moana’: It’s déjà vu all over again ...
Impressive cultural authenticity can’t obscure an uneven storyline
What SoundHound AI (SOUN)'s S-4 Business Combination and Platform Expansion Means For Shareholders
In recent days, SoundHound AI, Inc. filed an S-4 registration statement for a planned business combination and confirmed strong year-over-year revenue growth alongside ongoing quarterly losses and a solid cash balance with no debt. At the same time, the company is pushing beyond its automotive roots into a broader enterprise AI platform, using acquisitions and subscription services to expand use cases across restaurants, healthcare, retail, financial services, and telecom. We’ll now examine...
NCAR, CU Boulder ranked top 10 in the world for climate science
NCAR earned second place globally out of more than 40,000 institutions, with Carbon Brief noting it had some of the most highly cited authors.
MAGA's attack on science is even worse than it looks
In my post on America’s 250-year anniversary, I argued that respect for the individual was the “secret sauce” in the U.S.’ long-lasting preeminence among nations. But it was certainly not the only factor. There were plenty of institutional innovations that helped the U.S. stay on top — economically, militarily, and in terms of the attractiveness of its society. One of these was American science. Today we take things like the modern research university, government grants for science, public-to-private research spinoffs, etc. for granted, but a lot of that infrastructure wasn’t there before World War 2. It was either invented or scaled up massively by the U.S. government in the postwar period, led by far-sighted scientist-bureaucrats like Vannevar Bush (pictured above). If you want to read about this history, a good place to start would be Jonathan Gruber and Simon Johnson’s excellent book Jump-Starting America. Those scientific institutions didn’t exist in a vacuum, however. They were backed by the U.S. government’s abiding faith in the power of science — and, even more fundamentally, by deep popular trust in the scientific enterprise. Science gave us radar and the atom bomb in wartime, and in peacetime it gave us plastics, vaccines, cheap food, and a thousand other things that made our lives easier. Science was also the driver behind American industry — chemicals, aerospace, telecommunications, computers, electronics, and so on. We owed science our jobs, our livelihoods, our comfortable living standards, and our greatness and power as a nation. It’s little wonder that both political parties, even as they fought viciously over other issues, were steadfast in their support of science. For a long time, the only people who distrusted science were a hippie fringe on the left who disliked modernity (or thought they did, anyway), who also disliked American industry and American power, and who subscribed to an early version of degrowth environmentalism. America’s scientific enterprise is still strong, especially compared to the systems in Europe, Japan, Korea, and other developed countries. It has lost a lot of ground to China in a relative sense, but a lot of that is because of China’s incredible growth; as China has poured untold amounts of money and talent into its research labs, spending and output have overtaken the U.S. by some measures. There are a few ways in which China’s rise creates problems for American science — for example, top scientists can choose to work in China instead of in the U.S. — and of course there’s the concern that China’s technological strength will help its military to reign supreme. But overall, China’s rise in science should be good for American science, since American scientists can use Chinese discoveries for free and build on them. The much bigger problem is that the scientific enterprise America built during and after World War 2 is now being threatened with absolute decline. The biggest problem, of course, is that much of the country — the Republican half — has basically lost faith in the scientific enterprise. To what degree this loss of faith is justified is an open question, and deserves to be discussed openly. But the larger point — that the system that powered American dominance is under threat — is true either way. Most Americans still trust science, but MAGA Republicans don’t There’s a myth, popular in right-wing circles, that scientists have lost the trust of regular Americans — either due to the increasingly left-wing composition of academic departments, or to misbehavior during Covid, or to DEI-related research taking over science, etc. This also fits with a wider narrative that Americans are losing trust in all of our institutions. But it just isn’t true. Poll after poll shows that on the whole, Americans still trust scientists and want to spend more on science. For example, here’s a Pew poll from late 2025 showing that although about a fifth of Republicans did lose confidence in science in 2020, two thirds still have at least “a fair amount” of confidence: That same poll found that scientists are among America’s most trusted groups — even better trusted than the military! In fact, Americans trust scientists more than people in most other countries do. Other polls show that although Republican trust in science has dropped somewhat, Republican support for spending more on science remains very strong: A Pew poll in 2023 found the exact same thing: So when MAGA types tell you about scientists losing their credibility, or a drop in trust in science, they’re only talking about themselves. Whatever left-wing politicization of science happened during the Biden administration — and there was definitely some of that — it was not enough to make most Republicans lose faith in the scientific enterprise, or favor research cuts in order to purge unwanted ideology from the system. That doesn’t mean I think progressives should continue down the path of politicizing scientific research. They should not, and Biden made real missteps in this area. Objectivity clearly matters for public trust of science in the long term. But as of right now, there’s no crisis of trust in science, except among the smallish minority of people who are running around screaming that there’s a crisis of trust in science. But despite science’s overwhelming popularity and public trust, Trump and his administration are launching an unprecedented and devastating attack on American science — cutting funding, and forcing science projects to undergo ideological review by government commissars. Trump’s comprehensive attack on science
CENTENE SUBSIDIARY MERIDIAN HEALTH PLAN OF ILLINOIS AWARDED ILLINOIS MEDICAID CONTRACT
/PRNewswire/ -- Centene Corporation (Centene) (NYSE: CNC), a leading healthcare enterprise committed to helping people live healthier lives, announced today...
This 12-year-old created an AI receptionist to help small businesses
Mana Jampala is a Gen Alpha founder who is already building enterprise tools using ChatGPT and Claude Code.
Kimi K2.7 now available for Copilot Business and Enterprise
On July 1, 2026, we announced Kimi K2.7 would be available to Copilot Pro, Pro+, and Max plans. The model is now additionally available on Copilot Business and Copilot Enterprise…
Science Café looks at botanical mysteries
Davis Science Café is back Wednesday, July 8, from 5:30 to 7 p.m. at G Street WunderBar, 228 G St. in downtown Davis.
Google Voice now offers paid tiers with call recording & Gemini for personal accounts
Historically, Google Voice’s paid offerings were meant for enterprise customers, but Google is now letting you upgrade to a paid calling...
Make the Business Case for Your Sustainability Initiative
Sustainability proposals often stall not because they lack merit, but because they are framed in a language that does not match how senior leaders allocate capital. While CSOs tend to emphasize impact, materiality, and disclosure, CFOs and CEOs need to understand cash flow, risk, and return. External reporting frameworks are useful for accountability, but they are poorly suited to internal investment decisions, which require project-level comparisons rather than aggregated enterprise metrics. Sustainability investments should therefore be evaluated like any other investment: by showing how they reduce current costs, avoid future costs, generate new revenue, or protect existing revenue. Strong cases begin with a clear business story that links the proposed action to a specific business impact and cash-flow outcome, then quantify what can credibly be quantified while treating harder-to-measure benefits as either upside or an explicit strategic bet.
AT&T to Offer Everbridge Critical Event Management Solution
AT&T will offer enterprise and public sector customers Everbridge 360, designed to help organizations communicate faster when it matters most.
FEP Integrates Diaphanum US Business for Global Growth
Family Enterprise Partners Diaphanum US integration reinforces FEP's global strategy. FEP Wealth LLC consolidates US expansion for independent wealth advisory
Can AI help businesses weather any storm?
Investing in AI can be the lifeline that helps firms survive calamities, but not every enterprise can find salvation
SBA administrator says small businesses are the American Dream
SBA Administrator Kelly Loeffler joins ‘Fox & Friends’ to discusses how small businesses embody the American Dream. She also highlights the transformative power of enterprise while warning against radical socialist agendas.
SBA administrator says small businesses are the American Dream
SBA Administrator Kelly Loeffler joins ‘Fox & Friends’ to discusses how small businesses embody the American Dream. She also highlights the transformative power of enterprise while warning against radical socialist agendas.
With ERP.net’s New App Builder, Businesses Can Create Applications Directly Inside Their ERP System
Bulgaria, July 3, 2026 -- European enterprise software company ERP.net has introduced App Builder - a new Agentic AI-native platform that enabl...
MediaDailyNews: Microsoft Furthers Trend, Invests $2.5B In AI Consulting Business
Microsoft announced the "Microsoft Frontier Company" on Tuesday as a new operating business focused on delivering AI support for its clients through enterprise AI engineering expertise.
Popular TV-tracking app TV Time is shutting down as company focuses on AI
TV Time, the popular TV tracking app, is shutting down on July 15 as parent company Whip Media pivots toward enterprise AI products.
Summer travel health: tips for heat exhaustion, insect bites and travel vaccines
Stay healthy while traveling with help from CVS Pharmacy and MinuteClinic. Get vaccines, refill prescriptions and prepare for summer travel risks.
Alex Karp says AI models are 'irresponsibly oversold'
Palantir CEO Alex Karp said that "something has gone completely wrong" in the AI market. "The enterprises are just tired of it," he said.
Haleon teams up with Microsoft in 5-year AI pact to upgrade consumer health operations
Consumer health giant Haleon has tapped Microsoft to incorporate AI across its operations, joining a growing wave of healthcare and life sciences heavyweights turning to Big Tech to execute enterpr | Consumer health giant Haleon has tapped Microsoft to incorporate AI across its operations, joining a growing wave of healthcare and life sciences heavyweights turning to Big Tech to execute enterprise-wide digital overhauls.
The Four Business Outcomes That Break When Enterprises Stop Validating Their Defenses - SPONSOR CONTENT FROM AWS AND TERRA SECURITY
Sponsor content from AWS and Terra Security.
Nokia, SAP and Microsoft Enter Strategic Multi-Year Agreement to Advance Cloud- and AI-Driven Business Transformation
Nokia will accelerate its enterprise transformation using RISE with SAP Methodology, with SAP S/4HANA hosted on Microsoft Azure.
Melon Ball hosts Goldpine in concert Friday
Goldpine will be appearing in concert at the Melon Ball at Watermelon Music on Friday July 3.
Templafy data reveals shifts in enterprise AI document workflows
Enterprises face AI challenges as generic tools cause content inconsistency and dilute brand identity, affecting business-critical document quality.
Google Cloud to Offer Specialist AI Models for Science Research
Alphabet Inc.’s Google will start offering specialist artificial intelligence models from software company SandboxAQ through its cloud service, expanding enterprise and research access to technology designed to accelerate drug discovery, materials science and semiconductor manufacturing.
‘Color Book’: An exquisite character piece
Strong performances anchor this memorable indie drama
Morgan Stanley Raises PT on International Business Machines (IBM) Stock
International Business Machines Corporation (NYSE:IBM) is one of the Best Cloud Computing Stocks to Buy According to Hedge Funds. On June 23, Morgan Stanley lifted its price objective on the company’s stock to $267 from $225, and maintained an “Equal Weight” rating on the shares. As per the analyst, Dell and HPE earnings demonstrate that the enterprise server demand […]
MAI-Code-1-Flash for Copilot Business and Copilot Enterprise
MAI-Code-1-Flash, Microsoft AI’s in-house coding model, is now generally available for GitHub Copilot Business and Copilot Enterprise, building on its recent expansion across Copilot surfaces. Purpose-built for coding and optimized…
Enterprise AI spending grows, OpenAI leads, RBC reveals
RBC's latest CIO survey finds no AI token panic, no SaaSpocalypse, and surging enterprise AI spending, led by OpenAI.
How Perizaad Zorabian Left Bollywood And Turned Her Family's Poultry Business Into A Rs 120 Crore Enterprise
Perizaad Zorabian was at the peak of her career when she decided to quit acting and turned her focus to her family's poultry business
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
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